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            PROJECT REPORT

                  ON

 “THE STUDY ON CUSTOMER SATISFACTION OF
PEOPLE OF VADODARA AT VADODARA CENTRAL”




             Undertaken at:
      VADODARA CENTRAL, VADODARA


              Submitted by:
             SAGAR GAUR. M

              (06MBA53)


               Guided by:
         MR. BHAVESH VANPARIYA

             MBA (2007-08)

   SHRIMAD RAJCHANDRA INSTITUTE OF
 MANAGEMENT AND COMPUTER APPLICATION



                   1
DECLARATION

I hereby declare that the summer project report titled “The study on
customer satisfaction of people of Vadodara at Vadodara Central reference
to Vadodara city” is an original piece of work done by me for the fulfillment
of the award of degree of Master of Business Administration, and whatever
information has been taken from any sources had been duly acknowledge.


I further declare that the personal data & information received from any
respondent during survey has not been shared with any one and is used for
academic purpose only.




                                                        SAGAR GAUR .M




                                      2
ACKNOWLEDGEMENT

I wish to convey my special thanks to Mr. Rajesh Gandhi (Sr.Mark Mang)
and to Miss. Arpita Joshi (Asst Mark Mang) at Vadodara Central, who has
been a constant source of inspiration and encouragement to me.


 I feel immense pleasure in expressing my deep sense of respect and
indebtedness to my institute project guide, Mr. Bhavesh Vanpariya, Faculty,
Shrimad Rajchandra Institute of Management & Computer application,
Tarsadi for his valuable guidance throughout preparation of this report.


I feel immense pleasure to thank Dr. Bankim Patel, Director, Shrimad
Rajchandra Institute of Management & Computer application (SRIMCA),
Tarsadi for making available all facilities in fulfilling the requirements for
the research work.


I am sincerely thankful to all the faculty member of MBA department who
directly or indirectly supported me during the project. I am also thankful to
all the non-teaching staff of SRIMCA for their kind support.




                                                      SAGAR GAUR.M




                                      3
EXECUTIVE SUMMARY
Purpose: - To study the customer satisfaction of people of Vadodara at
Vadodara Central.

Design methodology approach:-
The project report includes the information regarding the industry profile,
profile of Pantaloon Retail India Ltd and about Central. It also gives details
about the major findings from study and the research methodology, data
analysis and interpretation, conclusion and suggestions to improve the
perception and satisfaction level of the customers of Vadodara Central.



Data Collection:-
In the research project the primary data collected through questionnaire.
And my sample size was 150 customers of the Vadodara Central at Near
Genda circle, Wadi Wadi, Baroda.


Statistical Tools:-
For analysis purpose, SPSS (Statistical Package for Social Science) soft ware
was used through which I had done different tests for the data analysis and
interpretation purpose like (One sample T test, Eta test, Chi square test,
Correlation, Cross tabulation).


Research design and Sampling method:-
The research design is descriptive. Sampling design is Non-probability and
sampling method is convenience sampling because of time and money
constraints. The sample size is 150 customers of Vadodara Central, Near
Genda circle, Wadi Wadi, Baroda. (51 students, 22 professional, 27
business person, 36 Govt & Pvt service, 10 self employed & retired and 4
house wives).


Conclusion and Findings:-
The wide range of the product is available for all the age group people at
central. The people are satisfied with the service quality and they feel
outstanding about the staff of the Central. The arrangements of the
products and physical facility are very good.
People are preferred Central as most preferred destination for shopping
at Vadodara city and most of the people are visiting the mall twice and



                                      4
thrice in a month for shopping. The major purchase done by the 20 to 30
years of the age group people.

Pantaloons and Westside are the other preferred choice for the people of
Vadodara for shopping in the Vadodara city.


Recommendation:-
Some more products which are needed for the life style maintaining and the
range of the available products should be increased.
The Vadodara Central will face a close competition from Big Bazaar and up
coming retail malls and retail malls which are existing from other malls of
different business groups, so the Central should also concentrate on middle
class of peoples and put some product of lower price so that they will also
preferred Central for the shopping than other stores.




                                     5
TABLE OF CONTENTS


Sr.                       Topic        Page
No.                                    No.


1.0   Introduction
      1.1   Industry Profile           10
      1.2   Company Profile            12
      1.3   Central Profile            13
      1.4   Literature Review          14
2.0   Research Methodology
      2.1 Problem definition           17
      2.2 Objectives of Study          18
      2.3 Research Methodology         18
      2.4 Statistical Test Used        21
      2.5 Statistical terms used       21
3.0   Data Analysis & Interpretation   23

4.0   Conclusion                       83

5.0   Recommendations                  85

6.0   Bibliography                     87

      Appendix                         89




                                   6
INTRODUCTION




     7
INTRODUCTION
1.1 INDUSTRY PROFILE

Retail is India’s largest industry, accounting for over 10 percent of the
country’s GDP and around eight percent of the employment. Retail industry
in India is at the crossroad. It has emerged as one of the most dynamic and
fast paced industry with several players entering the market. But because
of the heavy initial investments required, break even is difficult to achieve
and many of these players have not tasted success so far. However, the
future is promising, the market is growing, government policies are
becoming more favorable and emerging technologies are facilitating
operations.

Retailing in India is gradually inching its way toward becoming the next
boom industry. The whole concept of shopping has altered in terms of
format and consumer buying behavior, ushering in shopping in India.
Modern retail has entered India as seen in sprawling shopping centers,
multi-stored malls and huge complexes offer shopping, entertainment and
food all under one root.

The Indian retailing sector is at an inflexion point where the growth of
organization retailing and growth in the consumption by the Indian
population is going to take a higher growth trajectory.           The Indian
population is witnessing a significant change in its demographics. A large
young working population with median age of 24 years nuclear families in
urban areas, along with increasing workingwomen population and emerging
opportunities in the services sector are going to be the key growth drivers of
the organized retail sector in India.

SomeKeyFacts:-

- Retail is India’s largest industry, accounting for over 10 per cent of the
country’s GDP and around eight per cent of the employment

- The market size of Indian retail industry is about US $312 billion

- Organized retailing comprises only 2.8 per cent of the total retailing
market    and     is   estimated   at   around    US$     8.7    billion

- The organized retail sector is expected to grow to US $ 70 billion by
2010



                                      8
Every company is interested in organized retail, and too much money is
coming into the industry. Three big groups comprising Reliance industries,
the Bharti-Wal-Mart combine, TATA and the Aditya Birla group – have lied
up investments in excess that figure. Then there is other like the Hero
group that is talking of getting into organized retail.

The reason for so much investment in that industry is that retail is a
strategic industry. It’s the point where supply ad demand converges.
Anyone who controls this point even in any significant way-can become a
decisive force in the economy, but the bigger reason why companies are so
interested in organized retail is the sheer size of the opportunity. Currently,
organized retail covers only 3% of the total market which is very less
compared to over 60-70% levels in western countries.

No fresh demand needs to be created, it already exists. The only challenge
is to pull consumers away from Kirana stores, or roadside hawkers or
neighborhood markets into cleaner and better laid out shopping
environments. Indeed, when retailer is down, it’s not because there was no
demand, it’s usually because the retailer wasn’t efficient enough to give
consumers a better value proposition.




                                      9
1.2 COMPANY PROFILE




Pantaloon Retail (India) Ltd, is India’s leading retail company with presence
across food, fashion, home solutions and consumer electronics, books and
music, health, wellness and beauty, general merchandise, communication
products, e-tailing and Leisure & Environment.

Headquartered in Mumbai (Bombay), the company operates through 3.5
million square fact of retail space, has over 100+ stores and 30+ cities in
India and employs over 14,000 people. The company owns and manages
multiple retail formats catering to a wide cross-section of the Indian society
and its width ad depth of merchandise helps it capture almost the entire
consumption basket of the Indian consumer.

For the financial year ended June 2006, it had gross sales of Rs. 2,018.76cr.
Founded in 1987, pantaloon Retail forayed into retail in 1997 with the
opening up of a chain of department stores, Pantaloons.

In 2001, it launched Big Bazaar, a hypermarket chain, followed by Food
Bazaar, a supermarket chain. It went on to launch Central, a first of its
kind, seamless mall located in the heart of major Indian cities. Some of its
other formats include, Collection I (home improvement products), E-Zone
(consumer electronics), Depot (books, music, gifts and stationeries), all
(fashion apparel for plus-size individuals), Shoe Factory (footwear) and Blue
Sky (fashion accessories). It has recently launched its e-tailing venture;
some of the group’s subsidiaries include Home Solutions Retail India Ltd,
Future Bazaar (India) Ltd and Converge M Retail (India) Ltd, which leads the
group’s foray into home improvement, e-tailing and communication
products, respectively.

Other group companies include Pantaloon Industries Ltd, Galaxy
Entertainment and Indus League Clothing. It has also entered joint venture
agreements with a number of companies including ETAM group, Gini &
Jonnie, Liberty Shoes and Planet Retail, a company that owns the
franchisee of international brands like Marks & Spencer Debenhams and
Guess in India.




                                     10
1.3 CENTRAL



    Vadodara Central a “Seamless Mall” in the heart of the city
         Shop, Eat and Celebrate is the new mantra for residents of Vadodara




With “Shop, Eat and Celebrate” as a theme Vadodara Central houses over
300 brands, across Categories, such as apparels, footwear and Accessories
for women, men, children, infant basics. It also has a whole range of Music,
Books, Coffee Shop, Food Court, Super Market (Food Bazaar), Fine Dining
Restaurant. The mall also has a separate section for services such as Travel,
Finance, Investment, Insurance, Concert/Cinema Ticket Booking, Bill
Payments and other miscellaneous services. Vadodara Central also has
Central Square – a dedicated space for product launches, impromptu
events, daring displays, exciting shows and art exhibitions. In short
Vadodara Central has something for everybody from individuals to
businesses.

Vadodara Central has everything a family would need, for a complete
shopping experience. The 4 storied Seamless Mall has specific areas
dedicated to women, men, children, infants, food and beverages, home
appliances and furnishing, toys, play area for children among others.

There are mainly four malls of Central all across the India.

   (1) Bangalore Central                             (2)Hyderabad Central

   47/48, Residency Road,                             6-3-673/1-4,
    Bangalore - 560025                               PunjaguttaCrossRoad,
                                                     Punjagutta 500 082

   (3) Pune Central                                  (4) Vadodara Central

   256, Koncord Towers                              Shaarav Realty Pvt Ltd,
   Boat Club Road,                                  Opp. Sarabhai Chemicals,
   Sangamwadi Town Planning Scheme,                 Near Genda circle,
   Bund Garden Joggers Park,                        Wadi Wadi,
   Pune-411001                                      Baroda-390 023,
                                                    Gujarat




                                         11
1.4 Literature Review

Today as we know that the growth of the retail sector industry is too high
and due to these a very high level of competition is there, many domestic
and foreign company has introduce there malls around the country at
different cities and town, in these competitive market to introduce a new
type of retail counter is not a easy task, the company must have to
understand the behavioral pattern of the consumer. So that the companies
can emphasis more on that kind of features which the customer are
demanding. For this reason we are going to study on customer satisfaction
of people of Vadodara at Vadodara Central.


Today most of all products which are available to the buyers have a number
of alternatives, while they are taking purchasing decision. The aim of
marketer is to meet and satisfy target customer’s need and wants, the field
of consumer behavior studies, how individual, groups and organization
select, buy, use, and dispose of goods, services, ideas and experience to
satisfy their need and desire.


Understanding the consumer behavior and knowing customers satisfaction
are never be easy. Customers say one thing and do something different.
They may not be in touch with their deeper motivation. The knowledge of
customer’s satisfaction is essential for marketers; because the consumer
brings change in to the business according to maintain it.




                                     12
Customer satisfaction:-
In general, satisfaction is a persons feelings of pleasure or disappointment
resulting from comparing a products perceived performance (or out come) in
relation to his or her short of expectations. If the performance falls short of
expectations. If the performance matches the expectations, the customer is
satisfied. If the performance exceeds expectations the customer is highly
satisfied of delighted.
By (Philip Kotler & Kevin Keller) from Marketing Management.


“Customer satisfaction is the individual’s perception of the performance of
the product or service in relation to his or her expectations.”
By (Leon G.S. Chiffman) from Consumer Behavior.




Application of knowledge of customer satisfaction:-


The knowledge of customer satisfaction is very much important for the
company in following way,
           To helps in development of product and services.
           To helps in designing marketing activity for future.
           To helps in marketing segmentation and strategies development.
           To helps in knowing the product positioning and feeling in the
           mind of target audience for the product or service.
           To helps in improving the activities that will be according to the
           need of the customers.




                                      13
RESEARCH
METHODOLOGY




     14
CHAPTER-2

RESEARCH METHODOLOGY


2.1 Problem definition:

Management Decision Problem:

“How to increase the satisfaction of the customers of Vadodara Central”

Marketing Research Problem:

“What is the buying behavior of people of Vadodara city?”

Problem Definition

      What are the factors that highly affect customer’s satisfaction level at
      shopping malls?

      What are the features & facilities, which customers are demanding?

      What are respondent’s preferences for different brands?

      What is the top of mind awareness of shopping at retail malls?

      What is the extent of loyalty of customers towards Vadodara Central?




                                      15
2.2 Objectives of Study

Primary: “To study the customer satisfaction of people of Vadodara at
Vadodara Central”.

Secondary:


      To   find   out    the   most   important   factor,   this   affects   the
      Consumer satisfaction.
      To find out the most probable features which customer demanding in
      a shopping mall.
      To know the top-of-mind awareness of different malls around the city.
      To know the response of the Vadodara Central customers & factors
      which customers like or dislike and think of some improvements.
      To know the relationship between the brands and income, occupation
      and age.


2.3 Research Methodology:


Research Methodology is the systematic design, collection, analysis and
reporting of data and findings, relevant to appraisal specific personnel
situation facing the company. Research Methodology describes the research
procedure. This research procedure covers the following points:


    A. Research design
    B. Data collection method
    C. Sampling plan




                                      16
A. Research Design:


A research design is an overall framework of project that indicates what
information to be collected from which sources and by which procedures.


Research design is the plan, structure, and strategy of investigation
conceived so as to obtain answers to research questions and to control
variance.


In this project, descriptive and cross-sectional research design has been
used    because    it   describes   the    phenomena      under   study    and
recommendations findings are specific under this study. Cross-sectional
studies are carried out once and selected, as the research will be carried out
in a particular time limit only.


The Six W’s


WHO-Who should be considered a potential respondent?
The data are collected from the people who visited the Vadodara Central.


WHAT-What information should the be obtained from respondent?
Study the customers satisfaction and there expectation & prefers.


WHERE-Where should the respondents be contacted to obtain the required
information?
The people who visited the Vadodara Central. Vadodara.


WHEN- When the information should be collected?
The data are collected from 21st May to 20th July 2007.




                                      17
WHY-Why are we obtaining information from the respondents?
To know the satisfaction level & buying behavior of the customers of
Vadodara Central.


WAY- In what way are way going to obtained information from the
respondents?
The preparation the questionnaire for getting answer from the customers.


          B. Data collection Method:


There are two sources of data:


   1. Primary data sources
   2. Secondary data sources


Primary data are collected by using the Filling up of the questionnaire
method of data collection.
Secondary data ---------------
Research Measurement Tool:
The most popular research instrument for data collection -questionnaire
has been used.
Type of Questions:
In the questionnaire, both close-ended questions and open-ended questions
were included. The close-ended questions further included multiple-choice
questions as well as rating scale questions.

Pre-Testing of questionnaire: It is necessary to check the questionnaire,
before actual research is done. Therefore pilot testing is done. In this case,
Pilot testing was done for ten respondents, and based on the feedback, the
questionnaire was fine-tuned.


                                      18
C. Sampling Plan:


Sampling Design and Sampling Method:


In this study, non-probability sampling design has been used and the
sampling method employed is Convenience Sampling because of time and
money constraints.


i. Define the Target population
      -Element: Potential Customer of Vadodara Central.
      -Sampling Unit: Visitors of Vadodara Central.
      -Extent: Vadodara city.
      -Time: From 21stMay.2007 to 20th July. 2007.


ii. Select sampling techniques: Non-probability Convenience. This has
been done instead of pure random sampling method (Probability Sampling)
because of time and money constraints.


iii. Execution of sampling process: We have collected data from people
who visited the Vadodara Central through filling up of questionnaire.



2.4 Statistical Test used:-

We have used SPSS soft ware for doing all kind of statistical test.

2.5 Statistical terms used:-

Mean: means value is obtained by adding together all the items and by
dividing by this total by number of items.

Standard deviation: a probability distribution, random variable, or
population or multiset of values is a measure of its values.
One –sample T test for: The One sample T Test compares the mean score of
a sample to know a value.



                                     19
Pilot testing: It is necessary to check the questionnaire, before actual
research is done. Therefore pilot testing is done.


Choice of survey method: Questionnaires is filled up in the mall.


 Research instrument: Questionnaire was used for the purpose of the data
collection as the research instrument.


Questionnaire is consisted of the,
  1. Close ended questions (many questions include use of the scales).
  2. Open-ended question.




                                     20
DATA ANALYSIS

     AND

INTERPRETATION




      21
3.0 DATA ANAYALISIS AND INTERPRETATION

     The preferred malls of Vadodara visited frequently by people of
     Vadodara city.


             1st             2nd           3rd           4th           5th
             preference{%}   preference(%} preference{%} preference{%} preference{%}

Central           64             18.7             12          5.3            0

Westside          7.3            34.7             42.7       15.3            0

Pantaloons       27.3            38.7             28.7        5.3            0

Planet            1.3            8.7              16.0       71.3           2.7
fashion
Others            0.7             0                0          2.0          97.3




                                      1st   64%




                                                                             1st
                                                                             2nd
                                                                             3rd
                                                                             4th
                                                                             5th


                5%
                                                            19%
                               12%




                                             22
Inference:-

We can see that from the above table and graphs that out of 150
respondents (100%), there are 64% peoples who gives 1st and 18.7% people
who gives 2nd preference to the Central for the shopping in Vadodara city.
34.7% people who say that Westside is second most preferred destination
for shopping. 27.3%people preferred Pantaloons for the shopping as first
preference and also it has also 38.7% people who preferred as a second
most prefer destination for shopping.
So, we can say that the Central is the most preferred place for the shopping
for the people living in Vadodara city.




The number of people purchase during there visit at Vadodara Central.

                                    23
Purchase from Central


                   Frequency          Percent        Valid Percent   Cumulative Percent
    Yes                92              61.3              61.3              61.3
    No                 58              38.7              38.7             100.0
    Total             150              100.0             100.0


                                     Purchase
            100




             80




             60




             40




Frequency    20



              0
                               Yes                   No


                                     Purchase

     Inference:-

     We can see that from the above table and graphs that out of 150 respondent
     61.3% people has purchase and 38.7% has not purchase during there visit
     at Vadodara Central. So, we can say that most of the people will preferred to
     do the shopping from Central when they came for visit at the Vadodara
     Central.




     The reasons for why the people has not purchase from Vadodara


                                                24
Central.


                                       Not purchase from Central

                                                                                        Cumulative
                                             Frequency Percent Valid Percent             Percent
 Purchased From VC                               92     61.3       61.3                   61.3
 1 Accompanied with some one                     10      6.7        6.7                   68.0
 2 Spend some time                               15     10.0       10.0                   78.0
 3 Came to dine                                  11      7.3        7.3                   85.3
 4 Window shopping                               22     14.7       14.7                   100.0
 Total                                          150     100.0      100.0


                                         Not purchase
            100



             80



             60



             40


Frequency
             20



              0
                  Purchase from V.C.          Spend some time         Window shopping
                               Accompanied with some        Came to dine


                                            Not purchase

     Inference:-
     We can see that from the above table and graphs that out of 150 -
     respondent,58 people those who had not purchase 6.7% people has
     accompanied with some one purchase, 10% people has come for spend
     some time , 7.3% people has came for dine and 14.7% people has came for
     window shopping. So, we can know that most of people who had not
     purchase is came for window shopping and for spend some time at
     Vadodara Central so more variety and range of product should be increased.




                                                         25
From the following section people made purchased or want to make a
purchase from Vadodara Central.




Sections                Purchase   Purchase in(%) Not purchase from
                        from                      Central.
                        Central
Men’s wear              56         19.37          94
Woman’s wear            31         10.70          119
Kid’s wear              16         5.53           134
Footwear’s              16         5.53           134
Sports wear             10         3.46           140
Food court              37         12.80          113
Cosmetics &             26         4.00           124
Accessories
Jewelry & watches       23         7.95           127
Books & music           23         7.95           127
toys                    10         3.46           140
Electronic appliances   21         7.26           129
Mobile phones           20         6.92           130
total                   289        100%           1511




                                   26
Men’s wear                     Woman’s wear
                 Kid’s wear                     Footwear’s
                 Sports wear                    Food court
                 Cosmetics & accessories        Jewelry & watches
                 Books & music                  Electronic appliances
                 Mobile phones




Inference:-

 We can see that from the above table and graphs that out of 150
respondent’s major amount of purchase was done from the Men’s wear
section which is 19.37% by the peoples.
Food court is also making a good amount of sale and having 12.80%
purchase done by the people from this section.
Women’s wear also having a good amount of sale in Vadodara Central which
is having 10.70% of the total sale at Vadodara Central.
There is also other section s which is contributing good amount revenue for
the Vadodara Central and there are sales from the other sections also as it
shown in the table or seen from the pie chart.




                                           27
The following features people like about the staff during there visit at
Vadodara Central.


              Courteous      Friendly     Well groomed    Knowledgeable
  Valid         150            150             150            150
  Missing         0              0              0               0

                            Frequency Table

                              Courteous

                                                            Cumulative
              Frequency      Percent      Valid Percent      Percent
  Disagree         8           5.3             5.3             5.3
  Neutral         21          14.0            14.0            19.3
  Agree          121          80.7            80.7            100.0
  Total          150          100.0           100.0



Inference:-

We can see that from the above table and that out of 150 respondents 5.3%
people are disagree, 14% people are neutral and 80.7% people are agree that
staff of Vadodara Central is courteous So, we can say that most of people
find that the staff of Vadodara Central courteous to them during there visit
at Vadodara Central.

                              Friendly

                                                            Cumulative
              Frequency       Percent     Valid Percent      Percent
  Disagree         3            2.0            2.0             2.0
  Neutral         27           18.0           18.0            20.0
  Agree          120           80.0           80.0            100.0
  Total          150           100.0          100.0

Inference:-

We can see that from the above table and that out of 150 respondents 2.0%
people are disagree, 18% people are neutral and 80% people are agree that
staff of Vadodara Central is Friendly with them during there visit at
Vadodara Central.


                                     28
Well groomed

                                                             Cumulative
              Frequency       Percent     Valid Percent       Percent
  Disagree         6            4.0            4.0              4.0
  Neutral         38           25.3           25.3             29.3
  Agree          106           70.7           70.7             100.0
  Total          150           100.0          100.0


Inference:-

 We can see that from the above table and that out of 150 respondents4.0%
people are disagree, 25.3% people are neutral and 70.7% people are agree
that staff of Vadodara Central is well groomed at the time when they visit at
Vadodara Central.




                             Knowledgeable

                                                             Cumulative
              Frequency       Percent     Valid Percent       Percent
  Disagree        13            8.7            8.7              8.7
  Neutral         42           28.0           28.0             36.7
  Agree           95           63.3           63.3             100.0
  Total          150           100.0          100.0


Inference:-

 We can see that from the above table and that out of 150 respondents 8.7%
people are disagree, 28.0% people are neutral and 63.3% people are agree
that staff of Vadodara Central is knowledgeable regarding the product and
service during there visit at Vadodara Central. So, we can say that most of
the people are satisfied with the staff services at Vadodara Central and they
get all available information when they asked.




                                     29
The following features people like about Central during there visit at
Vadodara Central.



                VARIETY, QUALITY & RANGE OF PRODUCTS



One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the variety, quality & range of product.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the variety, quality & range of product.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                      30
One-Sample Statistic
                                   T-Test

                            One-Sample Statistics

                                                     Std.          Std. Error
                              N       Mean         Deviation         Mean
   Variety, Quality &
                             150      2.65           .543              .044
         Range



                              One-Sample Test



                                        Test Value = 2
                                                    Mean       95% Confidence
                                           Sig.     Differe    Interval of the
                                      (2-tailed)     nce         Difference
                        t     df                               Lower    Upper
Variety,
                                        .000         .653       .57      .74
Quality& Range     14.729    149



TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are satisfied with the variety, quality & range of product.


Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not feeling outstanding for the variety, quality & range of the
products.



                                      31
One-Sample Test

                                     T-Test

                            One-Sample Statistics

                                                     Std.         Std. Error
                            N        Mean          Deviation        Mean
   Variety, Quality &
                            150      2.65            .543               .044
         Range

                                One-Sample Test




                                         Test Value = 3
                                                       Mean     95% Confidence
                                            Sig.      Differe   Interval of the
                                       (2-tailed)       nce       Difference
                        t       df                              Lower      Upper
Variety,
                                         .000          -.347     -.43          -.26
Quality& Range -7.815        149


Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel outstanding about
the variety, quality & range of the products available at Vadodara Central.




                                       32
PRICES OF PRODUCTS



One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the prices of product.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the prices of product.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                      33
One-Sample Statistics

                                   T-Test

                            One-Sample Statistics

                                                    Std.          Std. Error
                             N        Mean        Deviation         Mean
         Prices             150       2.37          .660             .054


                              One-Sample Test


                                       Test Value = 2
                                                   Mean       95% Confidence
                                          Sig.     Differe    Interval of the
                     t        df     (2-tailed)     nce         Difference
                                                              Lower    Upper
    Prices        6.808      149       .000         .367       .26      .47


TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customer likes the Variety; Quality & Range of the store is outstanding.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not feeling outstanding for the price of the products.




                                     34
One-Sample Test


                                    T-Test

                             One-Sample Statistics

                                                    Std.         Std. Error
                            N       Mean          Deviation        Mean
         Prices            150      2.37            .660            .054


                                 One-Sample Test



                                        Test Value = 3
                                                      Mean     95% Confidence
                                           Sig.      Differe   Interval of the
                     t       df       (2-tailed)       nce       Difference
                                                               Lower    Upper
    Prices        11.759    149         .000          -.633     -.74     -.53


Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesis mean value 2 and 3
we get the same result it means that the null hypothesis H0 is again
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feeling outstanding
about the price of the products at Vadodara Central.




                                      35
NAVIGATING IN THE MALL



One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customer are satisfied with comfortable navigating.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the users are not
satisfied with comfortable navigating.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                     36
One-Sample Statistics

                                    T-Test

                             One-Sample Statistics

                                                    Std.          Std. Error
                               N      Mean        Deviation         Mean
        Navigating            150     2.47          .599             .049



                              One-Sample Test


                                       Test Value = 2
                                                   Mean       95% Confidence
                                          Sig.     Differe    Interval of the
                       t       df    (2-tailed)     nce         Difference
                                                              Lower    Upper
  Navigating         9.684    149      .000         .473       .38      .57




TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customer likes the comfortable navigating in the mall.


Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
users are not feeling outstanding about the comfortable navigating in the
mall.


                                     37
One-Sample Test


                                        T-Test

                              One-Sample Statistics

                                                       Std.         Std. Error
                               N       Mean          Deviation        Mean
        Navigating            150      2.47            .599            .049


                                     One-Sample Test



                                           Test Value = 3
                                                         Mean     95% Confidence
                                              Sig.      Differe   Interval of the
                       t        df       (2-tailed)       nce       Difference
                                                                  Lower    Upper
    Navigating       10.775     149        .000          -.527     -.62     -.43




Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, a the hypothesized mean value 2and
3 we get the same result it means that the null hypothesis H0 is rejected
and alternative hypothesis is accepted and it can be said that there is
significant difference between calculated mean and hypothesized mean. So,
we can say that customers feel the mall navigating is satisfactory but not
feeling outstanding about it.
.




                                         38
CLEANLINESS OF THE MALL



One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the cleanliness of the mall.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the cleanliness of the mall.
i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                       39
One-Sample Statistics


                                   T-Test

                           One-Sample Statistics

                                                     Std.          Std. Error
                             N        Mean         Deviation         Mean
       Cleanliness          150       2.71           .522             .043



                              One-Sample Test


                                       Test Value = 2
                                                    Mean       95% Confidence
                                           Sig.     Differe    Interval of the
                     t        df      (2-tailed)     nce         Difference
                                                               Lower    Upper
  Cleanliness     16.722     149        .000         .713       .63      .80

TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers likes the cleanliness of the mall.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not feeling outstanding about the cleanliness of the mall.




                                      40
One-Sample Test


                                        T-Test

                               One-Sample Statistics

                                                        Std.         Std. Error
                                N       Mean          Deviation        Mean
        Cleanliness            150      2.71            .522            .043


                                     One-Sample Test



                                            Test Value = 3
                                                          Mean     95% Confidence
                                               Sig.      Differe   Interval of the
                        t        df       (2-tailed)       nce       Difference
                                                                   Lower    Upper
    Cleanliness       -6.720    149         .000          -.287     -.37     -.20




Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2and
3 we get the same result it means that the null hypothesis H0 is again
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel outstanding about
the cleanliness about the mall.
.




                                          41
The number of times people visited the Vadodara Central in a month.




                               Visit

                    N             Mean       Std. Deviation
                   150            2.38            0.90



Mean:-We can say that most of the customers like to visited the Vadodara
Central twice and thrice in a month.

Std. Deviation: - We can say that most of the customers are loyal towards
the Vadodara Central and they are not volatile to other malls.



                                  Visit

                                             Valid            Cumulative
                 Frequency     Percent      Percent            Percent
  Once               23         15.3         15.3               15.3
  Twice              67         44.7         44.7               60.0
  Thrice             40         26.7         26.7               86.7
  More than
                     20          13.3         13.3              100.0
  that
  Total             150         100.0        100.0




                                       42
Visit
             70


             60


             50


             40


             30


Frequency    20


             10


              0
                      Once       Twice       Thrice   More than that


                                    Visit




       Inference:-

       We can see that from the above table and graphs that out of 150
       respondents 15.3% people visit once, 44.7% people visit twice, 26.7% people
       visit thrice and 13.3% people visit more three times Vadodara Central in a
       month .So, we can say that the most of people visited twice and thrice in a
       month at Vadodara Central.




                                             43
The people think about the service of the different malls in
Vadodara city.


                                 WESTSIDE


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the service of the West side.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the service of the West side.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                       44
T-Test

                           One-Sample Statistics

                                               Std.          Std. Error
                      N        Mean          Deviation         Mean
    Westside         150       2.38            .552             .045



                              One-Sample Test


                                       Test Value = 2
                                                    Mean     95% Confidence
                                           Sig.    Differe    Interval of the
                     t        df      (2-tailed)    nce         Difference
                                                             Lower        Upper
  Westside         8.437     149        .000        .380       .29         .47


TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are satisfied with the service of the West side.


Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not feeling outstanding for the service of the West side.




                                      45
One-Sample Test

                           T-Test


                    One-Sample Statistics

                                                            Std. Error
                   N         Mean     Std. Deviation          Mean
   Westside       150        2.38          .552                .045

                             One-Sample Test



                                       Test Value = 3
                                                  Mean      95% Confidence
                                          Sig.    Differe    Interval of the
                     t       df      (2-tailed)    nce         Difference
                                                             Lower       Upper
  Westside        13.765    149        .000       -.620       -.71       -.53




Inference:-

 Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel completely
outstanding about the service of the Westside.




                                     46
CENTRAL


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the service of the Central.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the service of the Central.
i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                       47
T-Test


                           One-Sample Statistics

                                               Std.           Std. Error
                      N        Mean          Deviation          Mean
     Central         150       2.82            .450              .037


                              One-Sample Test


                                       Test Value = 2
                                                    Mean      95% Confidence
                                           Sig.     Differe    Interval of the
                     t        df      (2-tailed)     nce         Difference
                                                              Lower        Upper
  Central         22.330     149        .000        .820        .75         .89


TEST VALUE AT 3


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are satisfied with the service Central.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not feeling outstanding for the service of Central.




                                      48
One-Sample Test
                                    T-Test


                            One-Sample Statistics

                                                             Std. Error
                    N        Mean      Std. Deviation          Mean
    Central        150       2.82           .450                .037

                              One-Sample Test



                                        Test Value = 3
                                                   Mean      95% Confidence
                                           Sig.    Differe    Interval of the
                     t        df      (2-tailed)    nce         Difference
                                                              Lower       Upper
  Central         -4.902     149        .000       -.180       -.25       -.11




Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 a 3
we get the same result, it means that the null hypothesis H0 is rejected and
alternative hypothesis is accepted and it can be said that there is significant
difference between calculated mean and hypothesized mean. So, we can say
that customers are satisfied but not feel completely outstanding about the
service of the Vadodara Central.




                                      49
PANTALOONS


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the service of Pantaloons.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the service of Pantaloons.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                      50
T-Test

                           One-Sample Statistics

                                              Std.          Std. Error
                     N        Mean          Deviation         Mean
   Pantaloons       150       2.69            .530             .043



                             One-Sample Test


                                      Test Value = 2
                                                   Mean     95% Confidence
                                          Sig.    Differe    Interval of the
                     t       df      (2-tailed)    nce         Difference
                                                            Lower        Upper
  Pantaloons      16.014    149        .000        .693       .61         .78



TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customer’s feels outstanding about the service of the Pantaloons.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not feeling outstanding for the service of Pantaloons




                                     51
One-Sample Test


                                    T-Test

                           One-Sample Statistics

                                                             Std. Error
                   N         Mean      Std. Deviation          Mean
  Pantaloons      150        2.69           .530                .043

                             One-Sample Test



                                       Test Value = 3
                                                   Mean      95% Confidence
                                           Sig.    Differe    Interval of the
                     t       df       (2-tailed)    nce         Difference
                                                              Lower       Upper
  Pantaloons      -7.083    149         .000       -.307       -.39       -.22


Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel completely
outstanding about the service of the Pantaloons.




                                      52
PLANET FASHION


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the service of the Planet fashion.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the Planet fashion.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                         53
T-Test

                            One-Sample Statistics


                       N            Mean          Std. Deviation    Std. Error Mean
 Planet fashion       150           2.22                .554               .045


                              One-Sample Test


                                                Test Value = 2
                                                          Mean      95% Confidence
                                                Sig.      Differe    Interval of the
                       t       df          (2-tailed)      nce         Difference
                                                                    Lower     Upper
 Planet fashion     4.863     149            .000          .220      .13          .31


TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are satisfied with the service of the Planet fashion.



Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the Planet fashion.




                                           54
T-Test

                            One-Sample Statistics


                      N         Mean          Std. Deviation   Std. Error Mean
 Planet fashion      150        2.22               .554              .045


                            One Sample Statistics



                                            Test Value = 3
                                                     Mean      95% Confidence
                      t                     Sig.     Differe    Interval of the
                               df      (2-tailed)     nce         Difference
                    17.24                                      Lower     Upper
  Planet fashion      2       149          .000      -.780      -.87      -.69


Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get same result, it means that the null hypothesis H0 is rejected
and alternative hypothesis is accepted and it can be said that there is
significant difference between calculated mean and hypothesized mean. So,
we can say that customers are satisfied but not feel completely outstanding
about the service of the Planet fashion.




                                       55
JADEBLUE


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the service of the Jade blue.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the service of the Jade blue.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                       56
T-Test

                             One-Sample Statistics


                         N          Mean          Std. Deviation    Std. Error Mean
Jade blue            150            1.94                .626                .051

                               One-Sample Test




                                            Test Value = 2
                                                          Mean      95% Confidence
                                                Sig.      Differe    Interval of the
                     t         df          (2-tailed)      nce         Difference
                                                                    Lower      Upper
  Jade blue       -1.173      149            .243         -.060      -.16          .04


TEST VALUE AT 1



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (1). In other words, we hypothesize that the
customers are feel poor about the service of the Jade blue.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (1.00). In other words the
customers are not feeling service is poor for Jade blue.




                                           57
One-Sample Test


                         One-Sample Statistics


                       N            Mean      Std. Deviation   Std. Error Mean
Jade blue             150           1.94           .626              .051

                            One-Sample Test


                                           Test Value = 1
                                                     Mean      95% Confidence
                                            Sig.     Differe    Interval of the
                     t         df      (2-tailed)     nce         Difference
                                                               Lower     Upper
  Jade blue       18.380      149          .000       .940      .84       1.04



Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that some customers feels that service of Jade blue is
satisfying but there are also some feels that service of the Jade blue is poor.




                                       58
SUBHIKSHA


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the service of the Subhiksha.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied the Subhiksha.
i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                     59
T-Test

                         One-Sample Statistics


                      N           Mean       Std. Deviation   Std. Error Mean
Subiksha             150          1.72            .646              .053



                             One-Sample Test


                                         Test Value = 2
                                                    Mean      95% Confidence
                                           Sig.     Differe    Interval of the
                     t       df       (2-tailed)     nce         Difference
                                                              Lower     Upper
  Subiksha        -5.306    149          .000       -.280      -.38      -.18




TEST VALUE AT 1



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (1). In other words, we hypothesize that the
customers are feel poor about the service of Subhiksha.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not feeling poor for the service of Subhiksha.




                                      60
One-Sample Statistics


                          N            Mean         Std. Deviation   Std. Error Mean
Subiksha                 150           1.72              .646              .053


                               One-Sample Test


                                               Test Value = 1
                                                            Mean     95% Confidence
                                                   Sig.    Differe    Interval of the
                     t            df          (2-tailed)     nce        Difference
                                                                     Lower     Upper
  Subiksha        13.644         149            .000        .720      .62       .82



Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that some customers feel that service of Subhiksha is
satisfying but there are also some feels that service of the Subhiksha is
poor.




                                              61
The experience of the people during the visit at Vadodara
Central.


                      PARKING FACILITY OF THE MALL


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the Parking facility of the mall.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the Parking facility of the mall.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                       62
T-Test
                              One-Sample Statistics


                               N      Mean         Std. Deviation      Std. Error Mean
  Parking in the mall         150     2.45              .661                 .054

                                    One-Sample Test



                                                 Test Value = 2
                                                             Mean      95% Confidence
                                                 Sig.       Differen    Interval of the
                          t         df         (2-tailed)     ce          Difference
                                                                        Lower    Upper
 Parking in the mall    8.278       149          .000        .447        .34      .55


TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are feel good about the Parking facility of the mall.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not fell good about the Parking facility of the mall.




                                          63
One-Sample Test
                                   T-Test


                          One-Sample Statistics

                                                            Std.         Std. Error
                              N          Mean             Deviation        Mean
Parking in the mall          150         2.45               .661            .054

                                One-Sample Test



                                               Test Value = 3
                                                            Mean      95% Confidence
                                               Sig.        Differen   Interval of the
                         t         df        (2-tailed)       ce        Difference
                                                                      Lower    Upper
 Parking in the mall 10.225      149           .000          -.553     -.66     -.45


Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get he same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel outstanding about
the Parking facility provided by the Vadodara Central.




                                        64
AMBIENCE OF THE MALL


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the Ambience of the mall.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the Ambience of the mall.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                     65
T-Test
                          One-Sample Statistics

                                                               Std.        Std. Error
                                N           Mean             Deviation       Mean
  Ambience of the mall         150          2.76               .459           .037

                                          One-Sample Test



                                                   Test Value = 2
                                                               Mean      95% Confidence
                           t                      Sig.        Differen   Interval of the
                                     df         (2-tailed)       ce        Difference
                         20.28                                           Lower    Upper
 Ambience of the mall     9          149          .000          .760      .69      .83


TEST VALUE AT 3


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are feel good about the Ambience of the mall.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not fell good about the Ambience of the mall.




                                           66
One-Sample Test

                           One-Sample Statistics

                                                               Std.         Std. Error
                                N           Mean             Deviation        Mean
Ambience of the mall           150          2.76               .459            .037

                               One-Sample Test



                                                   Test Value = 3
                                                               Mean      95% Confidence
                           t                      Sig.        Differen   Interval of the
                                     df         (2-tailed)       ce        Difference
                           -                                             Lower    Upper
 Ambience of the mall   6.407        149          .000          -.240     -.31     -.17


Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel outstanding about
Ambience of the mall.




                                           67
LIGHTING IN THE MALL


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the Lighting in the mall.
I.e. Ho: x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the Lighting in the mall.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                       68
T-Test
                          One-Sample Statistics


                           N            Mean      Std. Deviation      Std. Error Mean
 Lighting in the mall     150           2.86           .385                 .031


                                One-Sample Test

                                                 Test Value = 2
                                                            Mean      95% Confidence
                          t                     Sig.       Differen    Interval of the
                                   df         (2-tailed)     ce          Difference
                        27.37                                          Lower    Upper
 Lighting in the mall     4        149          .000        .860        .80      .92


TEST VALUE AT 3


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are feel good about the Lighting in the mall.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not fell good about the Lighting in the mall.




                                         69
One-Sample Test
                                        T-Test


                            One-Sample Statistics

                                                                Std.         Std. Error
                                  N          Mean             Deviation        Mean
Lighting in the mall             150         2.86               .385            .031


                                One-Sample Test


                                                    Test Value = 3
                                                                Mean      95% Confidence
                                                   Sig.        Differen   Interval of the
                            t          df        (2-tailed)       ce        Difference
                                                                          Lower    Upper
 Lighting in the mall   -4.456      149            .000          -.140     -.20     -.08



Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel outstanding about
the Lighting in the mall.




                                            70
MUSIC IN THE MALL


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the Music which was played in the mall.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the Music which was played in the mall.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                         71
T-Test
                             One-Sample Statistics

                                                               Std.        Std. Error
                                N           Mean             Deviation       Mean
   Music in the mall           150          2.51               .621           .051

                                  One-Sample Test




                                                  Test Value = 2
                                                               Mean      95% Confidence
                                                  Sig.        Differen   Interval of the
                         t           df         (2-tailed)       ce        Difference
                                                                         Lower    Upper
 Music in the mall     9.990         149          .000          .507      .41      .61


TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are feel good about the Music which was played in the mall.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not fell good about the Music which was played in the mall.




                                           72
One-Sample Test

                                      T-Test


                             One-Sample Statistics

                                                       Std.                Std. Error
                                N           Mean    Deviation                Mean
Music in the mall              150          2.51       .621                   .051
                                            One-Sample Test


                                                  Test Value = 3
                                                              Mean      95% Confidence
                                                  Sig.       Differen   Interval of the
                         t           df         (2-tailed)     ce         Difference
                                                                        Lower    Upper
 Music in the mall    -9.727         149          .000        -.493      -.59     -.39




Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result, it means that the null hypothesis H0 is
rejected and alternative hypothesis is accepted and it can be said that there
is significant difference between calculated mean and hypothesized mean.
So, we can say that customers are satisfied but not feel outstanding about
the Music which was played in the mall.




                                           73
MOVEMENT INSIDE THE MALL


One Sample T-Test:


Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (2). In other words, we hypothesize that the
customers are satisfied with the Movement inside the mall.
i.e. Ho : x = µ = 2


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers are
not satisfied with the Movement inside the mall.


i.e. H1: x ≠ µ, i.e. H1: x ≠ 2


Statistical Test: one sample t-test is chosen because the measurement of
data is interval in nature.


Significance level: 0.05




                                     74
T-Test
                            One-Sample Statistics


                                                             Std.        Std. Error
                              N           Mean             Deviation       Mean
  Movement inside the
                             150          2.63               .536             .044
        mall


                                  One-Sample Test



                                                Test Value = 2
                                                             Mean      95% Confidence
                                                Sig.        Differen   Interval of the
                                              (2-tailed)       ce        Difference
                        t          df                                  Lower     Upper
 Movement inside
                                                .000          .633      .55          .72
the mall             14.467        149



TEST VALUE AT 3



Null Hypothesis (HO): There is no significant difference between calculated
mean and hypothesized mean (3). In other words, we hypothesize that the
customers are feel good about the Movement inside the mall.




Alternative Hypothesis (H1): There is significant difference between
calculated mean (0.00) and hypothesized mean (3.00). In other words the
customers are not fell good about the Movement inside the mall.




                                         75
One-Sample Test
                                     T-Test


                            One-Sample Statistics

                                                               Std.         Std. Error
                                N          Mean              Deviation        Mean
Movement inside the
                               150             2.63            .536              .044
mall


                               One-Sample Test



                                                  Test Value = 3
                                                               Mean      95% Confidence
                                                  Sig.        Differen   Interval of the
                                                (2-tailed)       ce        Difference
                        t            df                                  Lower     Upper
 Movement inside
                                                  .000          -.367     -.45      -.28
the mall              -8.376        149


Inference:-
Here the test is performed at 95% significance level and the p-value comes
out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2
and 3 we get the same result it, means that null hypothesis H0 is rejected
and alternative hypothesis is accepted and it can be said that there is
significant difference between calculated mean and hypothesized mean. So,
we can say that customers are satisfied but not feel outstanding about the
Movement inside the mall.




                                          76
The people preferred to do shopping again at Vadodara Central.


                       Shopping again at Central

                                                 Valid         Cumulative
                       Frequency    Percent     Percent         Percent
      Never Come           5           3.3        3.3             3.3
        May be             37         24.7       24.7            28.0
       Certainly          108         72.0       72.0            100.0
         Total            150        100.0       100.0



Inference:-
 We can see that from the above table that out of 150 respondents 3.3%
people will not like to shop again at VadoraCentral, 24.7% people say that
they may be come again to do shopping at Vadodara Central and 72,0%
people will say that they will certainly come for shop again at Vadodara
Central.

So, we can say that and only few people will not decide or not come for
purchase at Vadodara Central and most of the people like the V.C. for
shopping and they are ready to come again for shop at Vadora Central.




                                    77
DEMOGRAPHIC DETAILS


                Age        Gender    Marital status    Occupation   Income
  Valid         150         150           150             150         150
  Missing        0           0             0               0           0

                                    Age

                                                  Valid       Cumulative
                      Frequency     Percent      Percent       Percent
  Below 20 years          29          19.3         19.3         19.3
  20 to 25 years          71          47.3         47.3         66.7
  26 to 30 years          31          20.7         20.7         87.3
  31 to 40 years          9           6.0          6.0          93.3
  41 to 50 years          3           2.0          2.0          95.3
  50 years above          7           4.7          4.7          100.0
  Total                  150         100.0        100.0



Inference:-
 We can see that from the above table that out of 150 respondent 68%
people are from 20 to 30 years or 31 to 40 years age group and only 32%
people belongs to other age groups.

So, we can say that most people from age 20 to 30 years are come at
Vadodara Central than other age group people for doing the shopping and
for other activities.

                                  Gender

                                                              Cumulative
               Frequency      Percent         Valid Percent    Percent
  Male            114          76.0               76.0          76.0
  Female           36          24.0               24.0          100.0
  Total           150          100.0              100.0



Inference:-
 We can see that from the above table that out of 150 respondent 76%
people who visited the Vadodara Central are Male and 24% people are of
Female gender.


                                     78
Marital status

                                               Valid
                 Frequency    Percent         Percent      Cumulative Percent
  Married            63         42.0            42.0             42.0
  Unmarried          87         58.0            58.0            100.0
  Total             150        100.0           100.0




Inference:-
 We can see that from the above table that out of 150 respondent 42%
people are married and 58% people are unmarried.



                               Occupation

                                                  Valid         Cumulative
                       Frequency    Percent      Percent         Percent
  Student                  51         34.0        34.0            34.0
  Professional             22         14.7        14.7            48.7
  Business person          27         18.0        18.0            66.7
  Retired                  3          2.0          2.0            68.7
  Govt service             6          4.0          4.0            72.7
  Self employed            7          4.7          4.7            77.3
  Service                  30         20.0        20.0            97.3
  Housewives               4          2.7          2.7            100.0
  Total                   150        100.0        100.0



Inference:-
 We can see that from the above table that out of 150 respondent 54%
people are belongs from Student and Service class group and 32.7% people
are belongs from the Professional and business group . So, we can say that
Vadodara Central is most preferred place for shopping and other facility for
young.




                                    79
Income

                                                 Valid
                      Frequency    Percent      Percent    Cumulative Percent
  Less than 5000          31        20.7         20.7            20.7
  From 5001 to
                          21         14.0        14.0             34.7
  10000
  From 10001 to
                          31         20.7        20.7             55.3
  20000
  From 20001 to
                          16         10.7        10.7             66.0
  30000
  From 30001 to
                          7          4.7          4.7             70.7
  40000
  From 40001 to
                          4          2.7          2.7             73.3
  50000
  More than 50000         10         6.7          6.7             80.0
  Can not disclose
                          30         20.0        20.0             100.0
  Total                  150        100.0       100.0




Inference:-
 We can see that from the above table that out of 150 respondent 20.7%
people are belongs to the less than 5000 income group and same number of
people are belongs to the 10001 to 20001 income group, 20% people are not
interested in disclose there income.
So, we can say that high class income group people prefer Vadodara Central
for the shopping and Vadodra Central is also preferred place for the middle
income age group.




                                    80
Correlation
       Correlation between Purchase and satisfaction from service of staff of Central.


Satisfaction level for….                                                  Satisfy


COURTEOUS                      Pearson Correlation                         .084

FRIENDLY                       Pearson Correlation                         .023

WELL GROOMED                   Pearson Correlation                         .058

KNOWLEDGEABLE                  Pearson Correlation                         -.078



There is Positive correlation between Purchases and Courteous, Friendly,
Well groomed and there is Negative correlation between Purchase and
Knowledgeable level.




                                              81
Cross Tabulation
                     Between Purchase and Staff of Central


                           Purchase * Courteous
                                   Crosstab
                                   Courteous
                                   Disagree     Neutral        Agree    Total
Purchase Yes % within purchase       6.5%       15.2%          78.3%   100.0%
         No % within purchase        3.4%       12.1%          84.5%   100.0%
Total        % within purchase       5.3%       14.0%          80.7%   100.0%

Inference:-From above table we can say that 80.7% of people agree that staff
of Central is courteous to them.



                           Directional Measures

           Nominal by Interval                         Value
           Eta                    Purchase Dependent   .084
                                  Courtesy Dependent   .084


            This measure of the strength of association between two
      categorical variables. A value .084 represent a weak association
      between Purchase and courtesy from the staff of Central i.e. only 8.4%
      association between Purchase and courtesy from the staff of Central.




                                      82
Purchase * Friendly
                                 Crosstab
                                  Friendly
                                 Disagree      Neutral        Agree    Total
Purchase Yes % within purchase     2.2%        18.5%          79.3%   100.0%
         No % within purchase      1.7%        17.2%          81.0%   100.0%
Total        % within purchase     2.0%        18.0%          80.0%   100.0%


Inference:-From above table we can say that 80.0% of people agree that staff
of Central is friendly to them.




                           Directional Measures

           Nominal by Interval                        Value
           Eta                   Purchase Dependent   .023
                                 Friendly Dependent   .023


            This measure of the strength of association between two
      categorical variables. A value .023 represent a weak association
      between Purchase and friendliness from the staff of Central i.e. only
      2.3% association between Purchase and friendliness from the staff of
      Central .




                                     83
Purchase * Well groomed
                                Crosstab
                               Well groomed
                                Disagree        Neutral       Agree    Total
Purchase Yes % within purchase     3.3%         29.3%         67.4%   100.0%
         No % within purchase      5.2%         19.0%         75.9%   100.0%
  Total      % within purchase     4.0%         25.3%         70.7%   100.0%

Inference:-From above table we can say that 70.7% of people agree that staff
of Central is well groomed.



                           Directional Measures

           Nominal by Interval                        Value
                                 Purchase Dependent   .121
           Eta                   Well groomed
                                                      .058
                                 Dependent


            This measure of the strength of association between two
      categorical variables. A value .058 represent a weak association
      between Purchase and well groomed staff of Central i.e. only 5.8%
      association between Purchase and groomed staff of Central.




                                     84
Purchase * Knowledgeable

                                Crosstab
                              Knowledgeable
                                 Disagree      Neutral       Agree       Total
Purchase Yes % within purchase     8.7%        23.9%         67.4%      100.0%
         No % within purchase      8.6%        34.5%         56.9%      100.0%
  Total      % within purchase     8.7%        28.0%         63.3%      100.0%


Inference:-From above table we can say that 63.3% of people agree that staff
of Central is knowledgeable.



                           Directional Measures

           Nominal by Interval                       Value
           Eta                   Purchase Dependent  .117
                                 Knowledge Dependent .078


            This measure of the strength of association between two
      categorical variables. A value .078 represent a weak association
      between Purchase and knowledge of staff of Central i.e. only 7.8%
      association between Purchase and knowledge of staff of Central.




                                     85
Correlation
        Correlation between Satisfaction level and Age, Gender, Status,
        Occupation, Income and visit at Central.


Satisfaction level for….                                  Satisfy


AGE                        Pearson Correlation             .041

GENDER                     Pearson Correlation             -.157

MARITAL STATUS             Pearson Correlation             -.101

OCCUPATION                 Pearson Correlation             .058

INCOME                     Pearson Correlation             .196

VISIT                      Pearson Correlation             .104



There is Positive correlation between Age and Satisfaction, Occupation and
Satisfaction, Income and Satisfaction, Visit at Central and Satisfaction and
there is Negative correlation between Gender and Satisfaction level, marital
status and Satisfaction level.




                                         86
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mktg project

  • 1. A PROJECT REPORT ON “THE STUDY ON CUSTOMER SATISFACTION OF PEOPLE OF VADODARA AT VADODARA CENTRAL” Undertaken at: VADODARA CENTRAL, VADODARA Submitted by: SAGAR GAUR. M (06MBA53) Guided by: MR. BHAVESH VANPARIYA MBA (2007-08) SHRIMAD RAJCHANDRA INSTITUTE OF MANAGEMENT AND COMPUTER APPLICATION 1
  • 2. DECLARATION I hereby declare that the summer project report titled “The study on customer satisfaction of people of Vadodara at Vadodara Central reference to Vadodara city” is an original piece of work done by me for the fulfillment of the award of degree of Master of Business Administration, and whatever information has been taken from any sources had been duly acknowledge. I further declare that the personal data & information received from any respondent during survey has not been shared with any one and is used for academic purpose only. SAGAR GAUR .M 2
  • 3. ACKNOWLEDGEMENT I wish to convey my special thanks to Mr. Rajesh Gandhi (Sr.Mark Mang) and to Miss. Arpita Joshi (Asst Mark Mang) at Vadodara Central, who has been a constant source of inspiration and encouragement to me. I feel immense pleasure in expressing my deep sense of respect and indebtedness to my institute project guide, Mr. Bhavesh Vanpariya, Faculty, Shrimad Rajchandra Institute of Management & Computer application, Tarsadi for his valuable guidance throughout preparation of this report. I feel immense pleasure to thank Dr. Bankim Patel, Director, Shrimad Rajchandra Institute of Management & Computer application (SRIMCA), Tarsadi for making available all facilities in fulfilling the requirements for the research work. I am sincerely thankful to all the faculty member of MBA department who directly or indirectly supported me during the project. I am also thankful to all the non-teaching staff of SRIMCA for their kind support. SAGAR GAUR.M 3
  • 4. EXECUTIVE SUMMARY Purpose: - To study the customer satisfaction of people of Vadodara at Vadodara Central. Design methodology approach:- The project report includes the information regarding the industry profile, profile of Pantaloon Retail India Ltd and about Central. It also gives details about the major findings from study and the research methodology, data analysis and interpretation, conclusion and suggestions to improve the perception and satisfaction level of the customers of Vadodara Central. Data Collection:- In the research project the primary data collected through questionnaire. And my sample size was 150 customers of the Vadodara Central at Near Genda circle, Wadi Wadi, Baroda. Statistical Tools:- For analysis purpose, SPSS (Statistical Package for Social Science) soft ware was used through which I had done different tests for the data analysis and interpretation purpose like (One sample T test, Eta test, Chi square test, Correlation, Cross tabulation). Research design and Sampling method:- The research design is descriptive. Sampling design is Non-probability and sampling method is convenience sampling because of time and money constraints. The sample size is 150 customers of Vadodara Central, Near Genda circle, Wadi Wadi, Baroda. (51 students, 22 professional, 27 business person, 36 Govt & Pvt service, 10 self employed & retired and 4 house wives). Conclusion and Findings:- The wide range of the product is available for all the age group people at central. The people are satisfied with the service quality and they feel outstanding about the staff of the Central. The arrangements of the products and physical facility are very good. People are preferred Central as most preferred destination for shopping at Vadodara city and most of the people are visiting the mall twice and 4
  • 5. thrice in a month for shopping. The major purchase done by the 20 to 30 years of the age group people. Pantaloons and Westside are the other preferred choice for the people of Vadodara for shopping in the Vadodara city. Recommendation:- Some more products which are needed for the life style maintaining and the range of the available products should be increased. The Vadodara Central will face a close competition from Big Bazaar and up coming retail malls and retail malls which are existing from other malls of different business groups, so the Central should also concentrate on middle class of peoples and put some product of lower price so that they will also preferred Central for the shopping than other stores. 5
  • 6. TABLE OF CONTENTS Sr. Topic Page No. No. 1.0 Introduction 1.1 Industry Profile 10 1.2 Company Profile 12 1.3 Central Profile 13 1.4 Literature Review 14 2.0 Research Methodology 2.1 Problem definition 17 2.2 Objectives of Study 18 2.3 Research Methodology 18 2.4 Statistical Test Used 21 2.5 Statistical terms used 21 3.0 Data Analysis & Interpretation 23 4.0 Conclusion 83 5.0 Recommendations 85 6.0 Bibliography 87 Appendix 89 6
  • 8. INTRODUCTION 1.1 INDUSTRY PROFILE Retail is India’s largest industry, accounting for over 10 percent of the country’s GDP and around eight percent of the employment. Retail industry in India is at the crossroad. It has emerged as one of the most dynamic and fast paced industry with several players entering the market. But because of the heavy initial investments required, break even is difficult to achieve and many of these players have not tasted success so far. However, the future is promising, the market is growing, government policies are becoming more favorable and emerging technologies are facilitating operations. Retailing in India is gradually inching its way toward becoming the next boom industry. The whole concept of shopping has altered in terms of format and consumer buying behavior, ushering in shopping in India. Modern retail has entered India as seen in sprawling shopping centers, multi-stored malls and huge complexes offer shopping, entertainment and food all under one root. The Indian retailing sector is at an inflexion point where the growth of organization retailing and growth in the consumption by the Indian population is going to take a higher growth trajectory. The Indian population is witnessing a significant change in its demographics. A large young working population with median age of 24 years nuclear families in urban areas, along with increasing workingwomen population and emerging opportunities in the services sector are going to be the key growth drivers of the organized retail sector in India. SomeKeyFacts:- - Retail is India’s largest industry, accounting for over 10 per cent of the country’s GDP and around eight per cent of the employment - The market size of Indian retail industry is about US $312 billion - Organized retailing comprises only 2.8 per cent of the total retailing market and is estimated at around US$ 8.7 billion - The organized retail sector is expected to grow to US $ 70 billion by 2010 8
  • 9. Every company is interested in organized retail, and too much money is coming into the industry. Three big groups comprising Reliance industries, the Bharti-Wal-Mart combine, TATA and the Aditya Birla group – have lied up investments in excess that figure. Then there is other like the Hero group that is talking of getting into organized retail. The reason for so much investment in that industry is that retail is a strategic industry. It’s the point where supply ad demand converges. Anyone who controls this point even in any significant way-can become a decisive force in the economy, but the bigger reason why companies are so interested in organized retail is the sheer size of the opportunity. Currently, organized retail covers only 3% of the total market which is very less compared to over 60-70% levels in western countries. No fresh demand needs to be created, it already exists. The only challenge is to pull consumers away from Kirana stores, or roadside hawkers or neighborhood markets into cleaner and better laid out shopping environments. Indeed, when retailer is down, it’s not because there was no demand, it’s usually because the retailer wasn’t efficient enough to give consumers a better value proposition. 9
  • 10. 1.2 COMPANY PROFILE Pantaloon Retail (India) Ltd, is India’s leading retail company with presence across food, fashion, home solutions and consumer electronics, books and music, health, wellness and beauty, general merchandise, communication products, e-tailing and Leisure & Environment. Headquartered in Mumbai (Bombay), the company operates through 3.5 million square fact of retail space, has over 100+ stores and 30+ cities in India and employs over 14,000 people. The company owns and manages multiple retail formats catering to a wide cross-section of the Indian society and its width ad depth of merchandise helps it capture almost the entire consumption basket of the Indian consumer. For the financial year ended June 2006, it had gross sales of Rs. 2,018.76cr. Founded in 1987, pantaloon Retail forayed into retail in 1997 with the opening up of a chain of department stores, Pantaloons. In 2001, it launched Big Bazaar, a hypermarket chain, followed by Food Bazaar, a supermarket chain. It went on to launch Central, a first of its kind, seamless mall located in the heart of major Indian cities. Some of its other formats include, Collection I (home improvement products), E-Zone (consumer electronics), Depot (books, music, gifts and stationeries), all (fashion apparel for plus-size individuals), Shoe Factory (footwear) and Blue Sky (fashion accessories). It has recently launched its e-tailing venture; some of the group’s subsidiaries include Home Solutions Retail India Ltd, Future Bazaar (India) Ltd and Converge M Retail (India) Ltd, which leads the group’s foray into home improvement, e-tailing and communication products, respectively. Other group companies include Pantaloon Industries Ltd, Galaxy Entertainment and Indus League Clothing. It has also entered joint venture agreements with a number of companies including ETAM group, Gini & Jonnie, Liberty Shoes and Planet Retail, a company that owns the franchisee of international brands like Marks & Spencer Debenhams and Guess in India. 10
  • 11. 1.3 CENTRAL Vadodara Central a “Seamless Mall” in the heart of the city Shop, Eat and Celebrate is the new mantra for residents of Vadodara With “Shop, Eat and Celebrate” as a theme Vadodara Central houses over 300 brands, across Categories, such as apparels, footwear and Accessories for women, men, children, infant basics. It also has a whole range of Music, Books, Coffee Shop, Food Court, Super Market (Food Bazaar), Fine Dining Restaurant. The mall also has a separate section for services such as Travel, Finance, Investment, Insurance, Concert/Cinema Ticket Booking, Bill Payments and other miscellaneous services. Vadodara Central also has Central Square – a dedicated space for product launches, impromptu events, daring displays, exciting shows and art exhibitions. In short Vadodara Central has something for everybody from individuals to businesses. Vadodara Central has everything a family would need, for a complete shopping experience. The 4 storied Seamless Mall has specific areas dedicated to women, men, children, infants, food and beverages, home appliances and furnishing, toys, play area for children among others. There are mainly four malls of Central all across the India. (1) Bangalore Central (2)Hyderabad Central 47/48, Residency Road, 6-3-673/1-4, Bangalore - 560025 PunjaguttaCrossRoad, Punjagutta 500 082 (3) Pune Central (4) Vadodara Central 256, Koncord Towers Shaarav Realty Pvt Ltd, Boat Club Road, Opp. Sarabhai Chemicals, Sangamwadi Town Planning Scheme, Near Genda circle, Bund Garden Joggers Park, Wadi Wadi, Pune-411001 Baroda-390 023, Gujarat 11
  • 12. 1.4 Literature Review Today as we know that the growth of the retail sector industry is too high and due to these a very high level of competition is there, many domestic and foreign company has introduce there malls around the country at different cities and town, in these competitive market to introduce a new type of retail counter is not a easy task, the company must have to understand the behavioral pattern of the consumer. So that the companies can emphasis more on that kind of features which the customer are demanding. For this reason we are going to study on customer satisfaction of people of Vadodara at Vadodara Central. Today most of all products which are available to the buyers have a number of alternatives, while they are taking purchasing decision. The aim of marketer is to meet and satisfy target customer’s need and wants, the field of consumer behavior studies, how individual, groups and organization select, buy, use, and dispose of goods, services, ideas and experience to satisfy their need and desire. Understanding the consumer behavior and knowing customers satisfaction are never be easy. Customers say one thing and do something different. They may not be in touch with their deeper motivation. The knowledge of customer’s satisfaction is essential for marketers; because the consumer brings change in to the business according to maintain it. 12
  • 13. Customer satisfaction:- In general, satisfaction is a persons feelings of pleasure or disappointment resulting from comparing a products perceived performance (or out come) in relation to his or her short of expectations. If the performance falls short of expectations. If the performance matches the expectations, the customer is satisfied. If the performance exceeds expectations the customer is highly satisfied of delighted. By (Philip Kotler & Kevin Keller) from Marketing Management. “Customer satisfaction is the individual’s perception of the performance of the product or service in relation to his or her expectations.” By (Leon G.S. Chiffman) from Consumer Behavior. Application of knowledge of customer satisfaction:- The knowledge of customer satisfaction is very much important for the company in following way, To helps in development of product and services. To helps in designing marketing activity for future. To helps in marketing segmentation and strategies development. To helps in knowing the product positioning and feeling in the mind of target audience for the product or service. To helps in improving the activities that will be according to the need of the customers. 13
  • 15. CHAPTER-2 RESEARCH METHODOLOGY 2.1 Problem definition: Management Decision Problem: “How to increase the satisfaction of the customers of Vadodara Central” Marketing Research Problem: “What is the buying behavior of people of Vadodara city?” Problem Definition What are the factors that highly affect customer’s satisfaction level at shopping malls? What are the features & facilities, which customers are demanding? What are respondent’s preferences for different brands? What is the top of mind awareness of shopping at retail malls? What is the extent of loyalty of customers towards Vadodara Central? 15
  • 16. 2.2 Objectives of Study Primary: “To study the customer satisfaction of people of Vadodara at Vadodara Central”. Secondary: To find out the most important factor, this affects the Consumer satisfaction. To find out the most probable features which customer demanding in a shopping mall. To know the top-of-mind awareness of different malls around the city. To know the response of the Vadodara Central customers & factors which customers like or dislike and think of some improvements. To know the relationship between the brands and income, occupation and age. 2.3 Research Methodology: Research Methodology is the systematic design, collection, analysis and reporting of data and findings, relevant to appraisal specific personnel situation facing the company. Research Methodology describes the research procedure. This research procedure covers the following points: A. Research design B. Data collection method C. Sampling plan 16
  • 17. A. Research Design: A research design is an overall framework of project that indicates what information to be collected from which sources and by which procedures. Research design is the plan, structure, and strategy of investigation conceived so as to obtain answers to research questions and to control variance. In this project, descriptive and cross-sectional research design has been used because it describes the phenomena under study and recommendations findings are specific under this study. Cross-sectional studies are carried out once and selected, as the research will be carried out in a particular time limit only. The Six W’s WHO-Who should be considered a potential respondent? The data are collected from the people who visited the Vadodara Central. WHAT-What information should the be obtained from respondent? Study the customers satisfaction and there expectation & prefers. WHERE-Where should the respondents be contacted to obtain the required information? The people who visited the Vadodara Central. Vadodara. WHEN- When the information should be collected? The data are collected from 21st May to 20th July 2007. 17
  • 18. WHY-Why are we obtaining information from the respondents? To know the satisfaction level & buying behavior of the customers of Vadodara Central. WAY- In what way are way going to obtained information from the respondents? The preparation the questionnaire for getting answer from the customers. B. Data collection Method: There are two sources of data: 1. Primary data sources 2. Secondary data sources Primary data are collected by using the Filling up of the questionnaire method of data collection. Secondary data --------------- Research Measurement Tool: The most popular research instrument for data collection -questionnaire has been used. Type of Questions: In the questionnaire, both close-ended questions and open-ended questions were included. The close-ended questions further included multiple-choice questions as well as rating scale questions. Pre-Testing of questionnaire: It is necessary to check the questionnaire, before actual research is done. Therefore pilot testing is done. In this case, Pilot testing was done for ten respondents, and based on the feedback, the questionnaire was fine-tuned. 18
  • 19. C. Sampling Plan: Sampling Design and Sampling Method: In this study, non-probability sampling design has been used and the sampling method employed is Convenience Sampling because of time and money constraints. i. Define the Target population -Element: Potential Customer of Vadodara Central. -Sampling Unit: Visitors of Vadodara Central. -Extent: Vadodara city. -Time: From 21stMay.2007 to 20th July. 2007. ii. Select sampling techniques: Non-probability Convenience. This has been done instead of pure random sampling method (Probability Sampling) because of time and money constraints. iii. Execution of sampling process: We have collected data from people who visited the Vadodara Central through filling up of questionnaire. 2.4 Statistical Test used:- We have used SPSS soft ware for doing all kind of statistical test. 2.5 Statistical terms used:- Mean: means value is obtained by adding together all the items and by dividing by this total by number of items. Standard deviation: a probability distribution, random variable, or population or multiset of values is a measure of its values. One –sample T test for: The One sample T Test compares the mean score of a sample to know a value. 19
  • 20. Pilot testing: It is necessary to check the questionnaire, before actual research is done. Therefore pilot testing is done. Choice of survey method: Questionnaires is filled up in the mall. Research instrument: Questionnaire was used for the purpose of the data collection as the research instrument. Questionnaire is consisted of the, 1. Close ended questions (many questions include use of the scales). 2. Open-ended question. 20
  • 21. DATA ANALYSIS AND INTERPRETATION 21
  • 22. 3.0 DATA ANAYALISIS AND INTERPRETATION The preferred malls of Vadodara visited frequently by people of Vadodara city. 1st 2nd 3rd 4th 5th preference{%} preference(%} preference{%} preference{%} preference{%} Central 64 18.7 12 5.3 0 Westside 7.3 34.7 42.7 15.3 0 Pantaloons 27.3 38.7 28.7 5.3 0 Planet 1.3 8.7 16.0 71.3 2.7 fashion Others 0.7 0 0 2.0 97.3 1st 64% 1st 2nd 3rd 4th 5th 5% 19% 12% 22
  • 23. Inference:- We can see that from the above table and graphs that out of 150 respondents (100%), there are 64% peoples who gives 1st and 18.7% people who gives 2nd preference to the Central for the shopping in Vadodara city. 34.7% people who say that Westside is second most preferred destination for shopping. 27.3%people preferred Pantaloons for the shopping as first preference and also it has also 38.7% people who preferred as a second most prefer destination for shopping. So, we can say that the Central is the most preferred place for the shopping for the people living in Vadodara city. The number of people purchase during there visit at Vadodara Central. 23
  • 24. Purchase from Central Frequency Percent Valid Percent Cumulative Percent Yes 92 61.3 61.3 61.3 No 58 38.7 38.7 100.0 Total 150 100.0 100.0 Purchase 100 80 60 40 Frequency 20 0 Yes No Purchase Inference:- We can see that from the above table and graphs that out of 150 respondent 61.3% people has purchase and 38.7% has not purchase during there visit at Vadodara Central. So, we can say that most of the people will preferred to do the shopping from Central when they came for visit at the Vadodara Central. The reasons for why the people has not purchase from Vadodara 24
  • 25. Central. Not purchase from Central Cumulative Frequency Percent Valid Percent Percent Purchased From VC 92 61.3 61.3 61.3 1 Accompanied with some one 10 6.7 6.7 68.0 2 Spend some time 15 10.0 10.0 78.0 3 Came to dine 11 7.3 7.3 85.3 4 Window shopping 22 14.7 14.7 100.0 Total 150 100.0 100.0 Not purchase 100 80 60 40 Frequency 20 0 Purchase from V.C. Spend some time Window shopping Accompanied with some Came to dine Not purchase Inference:- We can see that from the above table and graphs that out of 150 - respondent,58 people those who had not purchase 6.7% people has accompanied with some one purchase, 10% people has come for spend some time , 7.3% people has came for dine and 14.7% people has came for window shopping. So, we can know that most of people who had not purchase is came for window shopping and for spend some time at Vadodara Central so more variety and range of product should be increased. 25
  • 26. From the following section people made purchased or want to make a purchase from Vadodara Central. Sections Purchase Purchase in(%) Not purchase from from Central. Central Men’s wear 56 19.37 94 Woman’s wear 31 10.70 119 Kid’s wear 16 5.53 134 Footwear’s 16 5.53 134 Sports wear 10 3.46 140 Food court 37 12.80 113 Cosmetics & 26 4.00 124 Accessories Jewelry & watches 23 7.95 127 Books & music 23 7.95 127 toys 10 3.46 140 Electronic appliances 21 7.26 129 Mobile phones 20 6.92 130 total 289 100% 1511 26
  • 27. Men’s wear Woman’s wear Kid’s wear Footwear’s Sports wear Food court Cosmetics & accessories Jewelry & watches Books & music Electronic appliances Mobile phones Inference:- We can see that from the above table and graphs that out of 150 respondent’s major amount of purchase was done from the Men’s wear section which is 19.37% by the peoples. Food court is also making a good amount of sale and having 12.80% purchase done by the people from this section. Women’s wear also having a good amount of sale in Vadodara Central which is having 10.70% of the total sale at Vadodara Central. There is also other section s which is contributing good amount revenue for the Vadodara Central and there are sales from the other sections also as it shown in the table or seen from the pie chart. 27
  • 28. The following features people like about the staff during there visit at Vadodara Central. Courteous Friendly Well groomed Knowledgeable Valid 150 150 150 150 Missing 0 0 0 0 Frequency Table Courteous Cumulative Frequency Percent Valid Percent Percent Disagree 8 5.3 5.3 5.3 Neutral 21 14.0 14.0 19.3 Agree 121 80.7 80.7 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table and that out of 150 respondents 5.3% people are disagree, 14% people are neutral and 80.7% people are agree that staff of Vadodara Central is courteous So, we can say that most of people find that the staff of Vadodara Central courteous to them during there visit at Vadodara Central. Friendly Cumulative Frequency Percent Valid Percent Percent Disagree 3 2.0 2.0 2.0 Neutral 27 18.0 18.0 20.0 Agree 120 80.0 80.0 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table and that out of 150 respondents 2.0% people are disagree, 18% people are neutral and 80% people are agree that staff of Vadodara Central is Friendly with them during there visit at Vadodara Central. 28
  • 29. Well groomed Cumulative Frequency Percent Valid Percent Percent Disagree 6 4.0 4.0 4.0 Neutral 38 25.3 25.3 29.3 Agree 106 70.7 70.7 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table and that out of 150 respondents4.0% people are disagree, 25.3% people are neutral and 70.7% people are agree that staff of Vadodara Central is well groomed at the time when they visit at Vadodara Central. Knowledgeable Cumulative Frequency Percent Valid Percent Percent Disagree 13 8.7 8.7 8.7 Neutral 42 28.0 28.0 36.7 Agree 95 63.3 63.3 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table and that out of 150 respondents 8.7% people are disagree, 28.0% people are neutral and 63.3% people are agree that staff of Vadodara Central is knowledgeable regarding the product and service during there visit at Vadodara Central. So, we can say that most of the people are satisfied with the staff services at Vadodara Central and they get all available information when they asked. 29
  • 30. The following features people like about Central during there visit at Vadodara Central. VARIETY, QUALITY & RANGE OF PRODUCTS One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the variety, quality & range of product. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the variety, quality & range of product. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 30
  • 31. One-Sample Statistic T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Variety, Quality & 150 2.65 .543 .044 Range One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the (2-tailed) nce Difference t df Lower Upper Variety, .000 .653 .57 .74 Quality& Range 14.729 149 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are satisfied with the variety, quality & range of product. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not feeling outstanding for the variety, quality & range of the products. 31
  • 32. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Variety, Quality & 150 2.65 .543 .044 Range One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differe Interval of the (2-tailed) nce Difference t df Lower Upper Variety, .000 -.347 -.43 -.26 Quality& Range -7.815 149 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel outstanding about the variety, quality & range of the products available at Vadodara Central. 32
  • 33. PRICES OF PRODUCTS One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the prices of product. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the prices of product. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 33
  • 34. One-Sample Statistics T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Prices 150 2.37 .660 .054 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Prices 6.808 149 .000 .367 .26 .47 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customer likes the Variety; Quality & Range of the store is outstanding. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not feeling outstanding for the price of the products. 34
  • 35. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Prices 150 2.37 .660 .054 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Prices 11.759 149 .000 -.633 -.74 -.53 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesis mean value 2 and 3 we get the same result it means that the null hypothesis H0 is again rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feeling outstanding about the price of the products at Vadodara Central. 35
  • 36. NAVIGATING IN THE MALL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customer are satisfied with comfortable navigating. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the users are not satisfied with comfortable navigating. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 36
  • 37. One-Sample Statistics T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Navigating 150 2.47 .599 .049 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Navigating 9.684 149 .000 .473 .38 .57 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customer likes the comfortable navigating in the mall. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the users are not feeling outstanding about the comfortable navigating in the mall. 37
  • 38. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Navigating 150 2.47 .599 .049 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Navigating 10.775 149 .000 -.527 -.62 -.43 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, a the hypothesized mean value 2and 3 we get the same result it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers feel the mall navigating is satisfactory but not feeling outstanding about it. . 38
  • 39. CLEANLINESS OF THE MALL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the cleanliness of the mall. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the cleanliness of the mall. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 39
  • 40. One-Sample Statistics T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Cleanliness 150 2.71 .522 .043 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Cleanliness 16.722 149 .000 .713 .63 .80 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers likes the cleanliness of the mall. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not feeling outstanding about the cleanliness of the mall. 40
  • 41. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Cleanliness 150 2.71 .522 .043 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Cleanliness -6.720 149 .000 -.287 -.37 -.20 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2and 3 we get the same result it means that the null hypothesis H0 is again rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel outstanding about the cleanliness about the mall. . 41
  • 42. The number of times people visited the Vadodara Central in a month. Visit N Mean Std. Deviation 150 2.38 0.90 Mean:-We can say that most of the customers like to visited the Vadodara Central twice and thrice in a month. Std. Deviation: - We can say that most of the customers are loyal towards the Vadodara Central and they are not volatile to other malls. Visit Valid Cumulative Frequency Percent Percent Percent Once 23 15.3 15.3 15.3 Twice 67 44.7 44.7 60.0 Thrice 40 26.7 26.7 86.7 More than 20 13.3 13.3 100.0 that Total 150 100.0 100.0 42
  • 43. Visit 70 60 50 40 30 Frequency 20 10 0 Once Twice Thrice More than that Visit Inference:- We can see that from the above table and graphs that out of 150 respondents 15.3% people visit once, 44.7% people visit twice, 26.7% people visit thrice and 13.3% people visit more three times Vadodara Central in a month .So, we can say that the most of people visited twice and thrice in a month at Vadodara Central. 43
  • 44. The people think about the service of the different malls in Vadodara city. WESTSIDE One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the service of the West side. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the service of the West side. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 44
  • 45. T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Westside 150 2.38 .552 .045 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Westside 8.437 149 .000 .380 .29 .47 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are satisfied with the service of the West side. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not feeling outstanding for the service of the West side. 45
  • 46. One-Sample Test T-Test One-Sample Statistics Std. Error N Mean Std. Deviation Mean Westside 150 2.38 .552 .045 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Westside 13.765 149 .000 -.620 -.71 -.53 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel completely outstanding about the service of the Westside. 46
  • 47. CENTRAL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the service of the Central. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the service of the Central. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 47
  • 48. T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Central 150 2.82 .450 .037 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Central 22.330 149 .000 .820 .75 .89 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are satisfied with the service Central. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not feeling outstanding for the service of Central. 48
  • 49. One-Sample Test T-Test One-Sample Statistics Std. Error N Mean Std. Deviation Mean Central 150 2.82 .450 .037 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Central -4.902 149 .000 -.180 -.25 -.11 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 a 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel completely outstanding about the service of the Vadodara Central. 49
  • 50. PANTALOONS One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the service of Pantaloons. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the service of Pantaloons. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 50
  • 51. T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Pantaloons 150 2.69 .530 .043 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Pantaloons 16.014 149 .000 .693 .61 .78 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customer’s feels outstanding about the service of the Pantaloons. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not feeling outstanding for the service of Pantaloons 51
  • 52. One-Sample Test T-Test One-Sample Statistics Std. Error N Mean Std. Deviation Mean Pantaloons 150 2.69 .530 .043 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Pantaloons -7.083 149 .000 -.307 -.39 -.22 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel completely outstanding about the service of the Pantaloons. 52
  • 53. PLANET FASHION One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the service of the Planet fashion. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the Planet fashion. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 53
  • 54. T-Test One-Sample Statistics N Mean Std. Deviation Std. Error Mean Planet fashion 150 2.22 .554 .045 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Planet fashion 4.863 149 .000 .220 .13 .31 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are satisfied with the service of the Planet fashion. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the Planet fashion. 54
  • 55. T-Test One-Sample Statistics N Mean Std. Deviation Std. Error Mean Planet fashion 150 2.22 .554 .045 One Sample Statistics Test Value = 3 Mean 95% Confidence t Sig. Differe Interval of the df (2-tailed) nce Difference 17.24 Lower Upper Planet fashion 2 149 .000 -.780 -.87 -.69 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel completely outstanding about the service of the Planet fashion. 55
  • 56. JADEBLUE One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the service of the Jade blue. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the service of the Jade blue. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 56
  • 57. T-Test One-Sample Statistics N Mean Std. Deviation Std. Error Mean Jade blue 150 1.94 .626 .051 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Jade blue -1.173 149 .243 -.060 -.16 .04 TEST VALUE AT 1 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (1). In other words, we hypothesize that the customers are feel poor about the service of the Jade blue. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (1.00). In other words the customers are not feeling service is poor for Jade blue. 57
  • 58. One-Sample Test One-Sample Statistics N Mean Std. Deviation Std. Error Mean Jade blue 150 1.94 .626 .051 One-Sample Test Test Value = 1 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Jade blue 18.380 149 .000 .940 .84 1.04 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that some customers feels that service of Jade blue is satisfying but there are also some feels that service of the Jade blue is poor. 58
  • 59. SUBHIKSHA One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the service of the Subhiksha. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied the Subhiksha. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 59
  • 60. T-Test One-Sample Statistics N Mean Std. Deviation Std. Error Mean Subiksha 150 1.72 .646 .053 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Subiksha -5.306 149 .000 -.280 -.38 -.18 TEST VALUE AT 1 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (1). In other words, we hypothesize that the customers are feel poor about the service of Subhiksha. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not feeling poor for the service of Subhiksha. 60
  • 61. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Subiksha 150 1.72 .646 .053 One-Sample Test Test Value = 1 Mean 95% Confidence Sig. Differe Interval of the t df (2-tailed) nce Difference Lower Upper Subiksha 13.644 149 .000 .720 .62 .82 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that some customers feel that service of Subhiksha is satisfying but there are also some feels that service of the Subhiksha is poor. 61
  • 62. The experience of the people during the visit at Vadodara Central. PARKING FACILITY OF THE MALL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the Parking facility of the mall. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the Parking facility of the mall. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 62
  • 63. T-Test One-Sample Statistics N Mean Std. Deviation Std. Error Mean Parking in the mall 150 2.45 .661 .054 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differen Interval of the t df (2-tailed) ce Difference Lower Upper Parking in the mall 8.278 149 .000 .447 .34 .55 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are feel good about the Parking facility of the mall. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not fell good about the Parking facility of the mall. 63
  • 64. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Parking in the mall 150 2.45 .661 .054 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differen Interval of the t df (2-tailed) ce Difference Lower Upper Parking in the mall 10.225 149 .000 -.553 -.66 -.45 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get he same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel outstanding about the Parking facility provided by the Vadodara Central. 64
  • 65. AMBIENCE OF THE MALL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the Ambience of the mall. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the Ambience of the mall. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 65
  • 66. T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Ambience of the mall 150 2.76 .459 .037 One-Sample Test Test Value = 2 Mean 95% Confidence t Sig. Differen Interval of the df (2-tailed) ce Difference 20.28 Lower Upper Ambience of the mall 9 149 .000 .760 .69 .83 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are feel good about the Ambience of the mall. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not fell good about the Ambience of the mall. 66
  • 67. One-Sample Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Ambience of the mall 150 2.76 .459 .037 One-Sample Test Test Value = 3 Mean 95% Confidence t Sig. Differen Interval of the df (2-tailed) ce Difference - Lower Upper Ambience of the mall 6.407 149 .000 -.240 -.31 -.17 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel outstanding about Ambience of the mall. 67
  • 68. LIGHTING IN THE MALL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the Lighting in the mall. I.e. Ho: x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the Lighting in the mall. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 68
  • 69. T-Test One-Sample Statistics N Mean Std. Deviation Std. Error Mean Lighting in the mall 150 2.86 .385 .031 One-Sample Test Test Value = 2 Mean 95% Confidence t Sig. Differen Interval of the df (2-tailed) ce Difference 27.37 Lower Upper Lighting in the mall 4 149 .000 .860 .80 .92 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are feel good about the Lighting in the mall. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not fell good about the Lighting in the mall. 69
  • 70. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Lighting in the mall 150 2.86 .385 .031 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differen Interval of the t df (2-tailed) ce Difference Lower Upper Lighting in the mall -4.456 149 .000 -.140 -.20 -.08 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel outstanding about the Lighting in the mall. 70
  • 71. MUSIC IN THE MALL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the Music which was played in the mall. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the Music which was played in the mall. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 71
  • 72. T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Music in the mall 150 2.51 .621 .051 One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differen Interval of the t df (2-tailed) ce Difference Lower Upper Music in the mall 9.990 149 .000 .507 .41 .61 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are feel good about the Music which was played in the mall. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not fell good about the Music which was played in the mall. 72
  • 73. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Music in the mall 150 2.51 .621 .051 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differen Interval of the t df (2-tailed) ce Difference Lower Upper Music in the mall -9.727 149 .000 -.493 -.59 -.39 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result, it means that the null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel outstanding about the Music which was played in the mall. 73
  • 74. MOVEMENT INSIDE THE MALL One Sample T-Test: Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (2). In other words, we hypothesize that the customers are satisfied with the Movement inside the mall. i.e. Ho : x = µ = 2 Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words the customers are not satisfied with the Movement inside the mall. i.e. H1: x ≠ µ, i.e. H1: x ≠ 2 Statistical Test: one sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 74
  • 75. T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Movement inside the 150 2.63 .536 .044 mall One-Sample Test Test Value = 2 Mean 95% Confidence Sig. Differen Interval of the (2-tailed) ce Difference t df Lower Upper Movement inside .000 .633 .55 .72 the mall 14.467 149 TEST VALUE AT 3 Null Hypothesis (HO): There is no significant difference between calculated mean and hypothesized mean (3). In other words, we hypothesize that the customers are feel good about the Movement inside the mall. Alternative Hypothesis (H1): There is significant difference between calculated mean (0.00) and hypothesized mean (3.00). In other words the customers are not fell good about the Movement inside the mall. 75
  • 76. One-Sample Test T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean Movement inside the 150 2.63 .536 .044 mall One-Sample Test Test Value = 3 Mean 95% Confidence Sig. Differen Interval of the (2-tailed) ce Difference t df Lower Upper Movement inside .000 -.367 -.45 -.28 the mall -8.376 149 Inference:- Here the test is performed at 95% significance level and the p-value comes out as 0.00 which is lesser than 0.05, at the hypothesized mean value 2 and 3 we get the same result it, means that null hypothesis H0 is rejected and alternative hypothesis is accepted and it can be said that there is significant difference between calculated mean and hypothesized mean. So, we can say that customers are satisfied but not feel outstanding about the Movement inside the mall. 76
  • 77. The people preferred to do shopping again at Vadodara Central. Shopping again at Central Valid Cumulative Frequency Percent Percent Percent Never Come 5 3.3 3.3 3.3 May be 37 24.7 24.7 28.0 Certainly 108 72.0 72.0 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table that out of 150 respondents 3.3% people will not like to shop again at VadoraCentral, 24.7% people say that they may be come again to do shopping at Vadodara Central and 72,0% people will say that they will certainly come for shop again at Vadodara Central. So, we can say that and only few people will not decide or not come for purchase at Vadodara Central and most of the people like the V.C. for shopping and they are ready to come again for shop at Vadora Central. 77
  • 78. DEMOGRAPHIC DETAILS Age Gender Marital status Occupation Income Valid 150 150 150 150 150 Missing 0 0 0 0 0 Age Valid Cumulative Frequency Percent Percent Percent Below 20 years 29 19.3 19.3 19.3 20 to 25 years 71 47.3 47.3 66.7 26 to 30 years 31 20.7 20.7 87.3 31 to 40 years 9 6.0 6.0 93.3 41 to 50 years 3 2.0 2.0 95.3 50 years above 7 4.7 4.7 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table that out of 150 respondent 68% people are from 20 to 30 years or 31 to 40 years age group and only 32% people belongs to other age groups. So, we can say that most people from age 20 to 30 years are come at Vadodara Central than other age group people for doing the shopping and for other activities. Gender Cumulative Frequency Percent Valid Percent Percent Male 114 76.0 76.0 76.0 Female 36 24.0 24.0 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table that out of 150 respondent 76% people who visited the Vadodara Central are Male and 24% people are of Female gender. 78
  • 79. Marital status Valid Frequency Percent Percent Cumulative Percent Married 63 42.0 42.0 42.0 Unmarried 87 58.0 58.0 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table that out of 150 respondent 42% people are married and 58% people are unmarried. Occupation Valid Cumulative Frequency Percent Percent Percent Student 51 34.0 34.0 34.0 Professional 22 14.7 14.7 48.7 Business person 27 18.0 18.0 66.7 Retired 3 2.0 2.0 68.7 Govt service 6 4.0 4.0 72.7 Self employed 7 4.7 4.7 77.3 Service 30 20.0 20.0 97.3 Housewives 4 2.7 2.7 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table that out of 150 respondent 54% people are belongs from Student and Service class group and 32.7% people are belongs from the Professional and business group . So, we can say that Vadodara Central is most preferred place for shopping and other facility for young. 79
  • 80. Income Valid Frequency Percent Percent Cumulative Percent Less than 5000 31 20.7 20.7 20.7 From 5001 to 21 14.0 14.0 34.7 10000 From 10001 to 31 20.7 20.7 55.3 20000 From 20001 to 16 10.7 10.7 66.0 30000 From 30001 to 7 4.7 4.7 70.7 40000 From 40001 to 4 2.7 2.7 73.3 50000 More than 50000 10 6.7 6.7 80.0 Can not disclose 30 20.0 20.0 100.0 Total 150 100.0 100.0 Inference:- We can see that from the above table that out of 150 respondent 20.7% people are belongs to the less than 5000 income group and same number of people are belongs to the 10001 to 20001 income group, 20% people are not interested in disclose there income. So, we can say that high class income group people prefer Vadodara Central for the shopping and Vadodra Central is also preferred place for the middle income age group. 80
  • 81. Correlation Correlation between Purchase and satisfaction from service of staff of Central. Satisfaction level for…. Satisfy COURTEOUS Pearson Correlation .084 FRIENDLY Pearson Correlation .023 WELL GROOMED Pearson Correlation .058 KNOWLEDGEABLE Pearson Correlation -.078 There is Positive correlation between Purchases and Courteous, Friendly, Well groomed and there is Negative correlation between Purchase and Knowledgeable level. 81
  • 82. Cross Tabulation Between Purchase and Staff of Central Purchase * Courteous Crosstab Courteous Disagree Neutral Agree Total Purchase Yes % within purchase 6.5% 15.2% 78.3% 100.0% No % within purchase 3.4% 12.1% 84.5% 100.0% Total % within purchase 5.3% 14.0% 80.7% 100.0% Inference:-From above table we can say that 80.7% of people agree that staff of Central is courteous to them. Directional Measures Nominal by Interval Value Eta Purchase Dependent .084 Courtesy Dependent .084 This measure of the strength of association between two categorical variables. A value .084 represent a weak association between Purchase and courtesy from the staff of Central i.e. only 8.4% association between Purchase and courtesy from the staff of Central. 82
  • 83. Purchase * Friendly Crosstab Friendly Disagree Neutral Agree Total Purchase Yes % within purchase 2.2% 18.5% 79.3% 100.0% No % within purchase 1.7% 17.2% 81.0% 100.0% Total % within purchase 2.0% 18.0% 80.0% 100.0% Inference:-From above table we can say that 80.0% of people agree that staff of Central is friendly to them. Directional Measures Nominal by Interval Value Eta Purchase Dependent .023 Friendly Dependent .023 This measure of the strength of association between two categorical variables. A value .023 represent a weak association between Purchase and friendliness from the staff of Central i.e. only 2.3% association between Purchase and friendliness from the staff of Central . 83
  • 84. Purchase * Well groomed Crosstab Well groomed Disagree Neutral Agree Total Purchase Yes % within purchase 3.3% 29.3% 67.4% 100.0% No % within purchase 5.2% 19.0% 75.9% 100.0% Total % within purchase 4.0% 25.3% 70.7% 100.0% Inference:-From above table we can say that 70.7% of people agree that staff of Central is well groomed. Directional Measures Nominal by Interval Value Purchase Dependent .121 Eta Well groomed .058 Dependent This measure of the strength of association between two categorical variables. A value .058 represent a weak association between Purchase and well groomed staff of Central i.e. only 5.8% association between Purchase and groomed staff of Central. 84
  • 85. Purchase * Knowledgeable Crosstab Knowledgeable Disagree Neutral Agree Total Purchase Yes % within purchase 8.7% 23.9% 67.4% 100.0% No % within purchase 8.6% 34.5% 56.9% 100.0% Total % within purchase 8.7% 28.0% 63.3% 100.0% Inference:-From above table we can say that 63.3% of people agree that staff of Central is knowledgeable. Directional Measures Nominal by Interval Value Eta Purchase Dependent .117 Knowledge Dependent .078 This measure of the strength of association between two categorical variables. A value .078 represent a weak association between Purchase and knowledge of staff of Central i.e. only 7.8% association between Purchase and knowledge of staff of Central. 85
  • 86. Correlation Correlation between Satisfaction level and Age, Gender, Status, Occupation, Income and visit at Central. Satisfaction level for…. Satisfy AGE Pearson Correlation .041 GENDER Pearson Correlation -.157 MARITAL STATUS Pearson Correlation -.101 OCCUPATION Pearson Correlation .058 INCOME Pearson Correlation .196 VISIT Pearson Correlation .104 There is Positive correlation between Age and Satisfaction, Occupation and Satisfaction, Income and Satisfaction, Visit at Central and Satisfaction and there is Negative correlation between Gender and Satisfaction level, marital status and Satisfaction level. 86