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Group 9
Types of Data Analysis




simplest form of quantitative (statistical) analysis

carried out with the description of a
single variable in terms of the applicable unit of
analysis




basic way of presenting is to create a frequency
distribution of the individual cases, which involves
presenting the number of cases in the sample that
fall into each category of values of the variable

can be done in a table format or with a bar chart or
a similar form of graphical representation






involves two variables, deals with causes or
relationships
major purpose is to explain

one of the simplest forms of the quantitative
(statistical) analysis




involves the analysis of two variables (often
denoted as X, Y), for the purpose of
determining the empirical relationship
between them

In order to see if the variables are related to
one another, it is common to measure how
those two variables simultaneously change
together.


based on the statistical principle
of multivariate statistics, which involves
observation and analysis of more than one
statistical outcome variable at a time


In design and analysis, the technique is used
to perform trade studies across multiple
dimensions while taking into account the
effects of all variables on the responses of
interest.






Design for capability (also known as
capability-based design)
Inverse design, where any variable can be
treated as an independent variable
Analysis of Alternatives (AoA), the selection of
concepts to fulfill a customer need




Analysis of concepts with respect to changing
scenarios
Identification of critical design drivers and
correlations across hierarchical levels.


you can use a selection of criteria to analyze
which variants have already reached or been
set to a specific status, or for which objects
the status is used


aims at finding out not only how
things are, but above all how they should be,
which means that it will be necessary to
define the subjective point of view that shall
be used, in other words to select the people
who shall evaluate the proposals which aim at
improving the object of study




discipline of quantitatively describing the
main features of a collection of data, or the
quantitative description itself
Descriptive statistics are distinguished
frominferential statistics (or inductive
statistics), in that descriptive statistics aim to
summarize a sample, rather than use the data
to learn about the population that the sample
of data is thought to represent


For example in a paper reporting on a study
involving human subjects, there typically
appears a table giving the overall sample
size, sample sizes in important subgroups
(e.g., for each treatment or exposure
group), and demographic or clinical
characteristics such as the average age, the
proportion of subjects of each sex, and the
proportion of subjects with
related comorbidities




a systematic determination of a subject's
merit, worth and significance, using criteria
governed by a set of standards
can assist an organization, program, project or
any other intervention or initiative to assess any
aim, realisable concept/proposal, or any
alternative, to help in decision-making; or to
ascertain the degree of achievement or value in
regard to the aim and objectives and results of
any such action that has been completed




enable reflection and assist in the
identification of future change
often used to characterize and appraise
subjects of interest in a wide range of human
enterprises, including the arts, criminal
justice, foundations, non-profit
organizations, government, health care, and
other human services


Classification refers to categorization, the
process in which ideas and objects are
recognized, differentiated, and understood




the item-by-item comparison of two or more
comparable
alternatives, processes, products, qualificatio
ns, sets of data, systems, or the like
In accounting, for example, changes in
a financial statement's items over
several accounting periods may be presented
together to detect the emerging trends in
the company's operations and results.


Side by side examination of two or more
alternatives, processes, products, qualificatio
ns, sets of data, systems, etc., to determine if
they have enough commonground, equivalence, or similarities
to permit a meaningful comparative analysis


For example, financial data of two firms from
very different industries may be comparable if
they use similar performance
measures, follow similar accounting
methods, policies, and procedures, and disclo
se their financial information to the similar
extent. A
very high degree of comparability may
indicate uniformity.


arranges data in an ordered format, such as
lowest to highest



can also use a stem and leaf plot for
presentation



the researched data is presented to others in
a paragraph form



could be hard for people to understand
without a visual aid




data is presented in a chart or table format

statistics may be shown across several rows
and columns, presenting data with certain
parameters in a fashion that can be looked
over and compared




data is arranged in rows and columns by
month or segment, which is used to show
what particular day correlates to the day of
the month or number unit of the monthly
segment
calendar can be considered one of the
simplest types of tabular data presentation


visual display of data and statistical results



visual display of data and statistical results



basically summarizes how one quantity
changes if another quantity that is related to
it also changes


show and compare changes



show and compare relationships



bring facts to life


Attractive and Effective presentation of Data



Simple and Understandable Presentation of
Data



Useful in Comparison



Useful for Interpretation



Remembrance for long period


Helpful in Predictions



Universal utility



Information as well as Entertainment



Helpful in Transmission of Information



No Need for training




uses vertical or horizontal bars to represent
numerical data.
bar graph compares amounts in a single time
period.


graph that uses pairs of bars to compare
information


A graph used to show changes over a period
of time


graph that uses pairs of lines to compare
information


circular graph that separates each category
into a piece of the whole

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Types of Data Analysis Methods

  • 2.
  • 3. Types of Data Analysis
  • 4.   simplest form of quantitative (statistical) analysis carried out with the description of a single variable in terms of the applicable unit of analysis
  • 5.   basic way of presenting is to create a frequency distribution of the individual cases, which involves presenting the number of cases in the sample that fall into each category of values of the variable can be done in a table format or with a bar chart or a similar form of graphical representation
  • 6.    involves two variables, deals with causes or relationships major purpose is to explain one of the simplest forms of the quantitative (statistical) analysis
  • 7.   involves the analysis of two variables (often denoted as X, Y), for the purpose of determining the empirical relationship between them In order to see if the variables are related to one another, it is common to measure how those two variables simultaneously change together.
  • 8.  based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical outcome variable at a time
  • 9.  In design and analysis, the technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest.
  • 10.    Design for capability (also known as capability-based design) Inverse design, where any variable can be treated as an independent variable Analysis of Alternatives (AoA), the selection of concepts to fulfill a customer need
  • 11.   Analysis of concepts with respect to changing scenarios Identification of critical design drivers and correlations across hierarchical levels.
  • 12.
  • 13.  you can use a selection of criteria to analyze which variants have already reached or been set to a specific status, or for which objects the status is used
  • 14.  aims at finding out not only how things are, but above all how they should be, which means that it will be necessary to define the subjective point of view that shall be used, in other words to select the people who shall evaluate the proposals which aim at improving the object of study
  • 15.   discipline of quantitatively describing the main features of a collection of data, or the quantitative description itself Descriptive statistics are distinguished frominferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent
  • 16.  For example in a paper reporting on a study involving human subjects, there typically appears a table giving the overall sample size, sample sizes in important subgroups (e.g., for each treatment or exposure group), and demographic or clinical characteristics such as the average age, the proportion of subjects of each sex, and the proportion of subjects with related comorbidities
  • 17.
  • 18.   a systematic determination of a subject's merit, worth and significance, using criteria governed by a set of standards can assist an organization, program, project or any other intervention or initiative to assess any aim, realisable concept/proposal, or any alternative, to help in decision-making; or to ascertain the degree of achievement or value in regard to the aim and objectives and results of any such action that has been completed
  • 19.   enable reflection and assist in the identification of future change often used to characterize and appraise subjects of interest in a wide range of human enterprises, including the arts, criminal justice, foundations, non-profit organizations, government, health care, and other human services
  • 20.  Classification refers to categorization, the process in which ideas and objects are recognized, differentiated, and understood
  • 21.   the item-by-item comparison of two or more comparable alternatives, processes, products, qualificatio ns, sets of data, systems, or the like In accounting, for example, changes in a financial statement's items over several accounting periods may be presented together to detect the emerging trends in the company's operations and results.
  • 22.  Side by side examination of two or more alternatives, processes, products, qualificatio ns, sets of data, systems, etc., to determine if they have enough commonground, equivalence, or similarities to permit a meaningful comparative analysis
  • 23.  For example, financial data of two firms from very different industries may be comparable if they use similar performance measures, follow similar accounting methods, policies, and procedures, and disclo se their financial information to the similar extent. A very high degree of comparability may indicate uniformity.
  • 24.
  • 25.
  • 26.  arranges data in an ordered format, such as lowest to highest  can also use a stem and leaf plot for presentation  the researched data is presented to others in a paragraph form  could be hard for people to understand without a visual aid
  • 27.   data is presented in a chart or table format statistics may be shown across several rows and columns, presenting data with certain parameters in a fashion that can be looked over and compared
  • 28.   data is arranged in rows and columns by month or segment, which is used to show what particular day correlates to the day of the month or number unit of the monthly segment calendar can be considered one of the simplest types of tabular data presentation
  • 29.
  • 30.  visual display of data and statistical results  visual display of data and statistical results  basically summarizes how one quantity changes if another quantity that is related to it also changes
  • 31.  show and compare changes  show and compare relationships  bring facts to life
  • 32.  Attractive and Effective presentation of Data  Simple and Understandable Presentation of Data  Useful in Comparison  Useful for Interpretation  Remembrance for long period
  • 33.  Helpful in Predictions  Universal utility  Information as well as Entertainment  Helpful in Transmission of Information  No Need for training
  • 34.
  • 35.
  • 36.   uses vertical or horizontal bars to represent numerical data. bar graph compares amounts in a single time period.
  • 37.  graph that uses pairs of bars to compare information
  • 38.  A graph used to show changes over a period of time
  • 39.  graph that uses pairs of lines to compare information
  • 40.  circular graph that separates each category into a piece of the whole