SlideShare uma empresa Scribd logo
1 de 22
Baixar para ler offline
CLASS :- X LOTUS
GROUP NO:- VI
Abhay
Ashish
Chirag
Harsh
Priyanka
Sachin
STATISTICS
It is a mathematical science pertaining to the
collection, analysis, interpretation or explanation,
and presentation of data. Also with prediction and
forecasting based on data.
Statistics form a key basis tool in business and
manufacturing as well. It is used to understand
measurement systems variability, control processes
for summarizing data, and to make data-driven
decisions.
Some fields of inquiry use applied statistics so
extensively that they have specialized terminology.
Ex- engineering statistics, social statistics,
statistics in sports, etc…
ORIGIN
The word ‘statistics’ and ‘statistical’ are
derived from the Latin word status,
means political state.
Statistics is concerned with scientific method for collecting and
presenting, organizing and summarizing and analyzing data as well as
deriving valid conclusions and making reasonable decisions on the
basis of this analysis.
Statistical methods date back at least to the
5th century BC.
Some scholars pinpoint the origin of
statistics to 1663, with the publication
of Natural and Political Observations
by John Graunt. Early applications of
statistical thinking revolved around the
needs of states to base policy on
demographic and economic data. The
scope of the discipline of statistics
broadened in the early 19th century to
include the collection and analysis of data
in general. Today, statistics is widely
employed in government, business, and
natural and social sciences.
Blaise Pascal, an early pioneer on the
mathematics of probability.
Its mathematical foundations were
laid in the 17th century with the
development of the probability
theory by Blaise Pascal and Pierre de
Fermat. Mathematical probability
theory arose from the study of
games of chance, although the
concept of probability was already
examined in medieval law and by
philosophers such as Juan
Caramuel. The method of least
squares was first described
by Adrien-Marie Legendre in 1805.
Pierre de Fermat
At the turn of the century Sir Francis
Galton and Karl Pearson transformed
statistics into a rigorous mathematical
discipline used for analysis, not just in
science, but in industry and politics as well.
Galton's contributions to the field included
introducing the concepts of standard
deviation, correlation, regression and the
application of these methods to the study of the
variety of human characteristics Pearson
developed the Correlation coefficient, defined as
a product-moment, the method of moments for
the fitting of distributions to samples and
the Pearson's system of continuous curves,
among many other things. Karl Pearson, a founder of
mathematical statistics.
Today, statistics is widely employed in government, business,
and natural and social sciences.
Today, statistical methods are applied in all fields that involve
decision making, for making accurate inferences from a
collated body of data and for making decisions in the face of
uncertainty based on statistical methodology. The use of
modern computers has expedited large-scale statistical
computations, and has also made possible new methods that
are impractical to perform manually. Statistics continues to be
an area of active research, for example on the problem of how
to analyze big data.
INDUSTRIES AND BUSINESS
Report of early sales & comparison others.
It shows where the factory or its sales lack and where they
are good
AGRICULTURE
What amount of crops are grown this year in comparison to
previous year or in comparison to required amount of crop for
the country
Quality and size of grains grown due to use of different
fertilizer.
FORESTERY
How much growth has been occurred in area under forest or
how much forest has been depleted in last 5 years?
How much different species of flora and fauna have increased
or decreased in last 5 years?
EDUCATION
Money spend on girls education in comparison to boys
education?
Increase in no. of girl students who seated in who Seated for
different exams?
Comparison for result for last 10 years.
ECOLOGICAL STUDIES
Comparison of increasing impact of pollution on global
warming?
Increasing effect of nuclear reactors on environment?
MEDICAL STUDIES
No. of new diseases grown in last 10 year.
Increase in no. of patients for a particular disease.
SPORTS
Used to compare run rates of to different teams.
Used to compare to different players.
Nowadays graphs are used almost everywhere. In Stock
Market, graphs are used to determine the profit margins of
Stock.
There is always a graph showing how prices have changed over
time , unemployment figures , inflation , exchange rates ,
NASA space stories , global warming statistics , mortgage
lending figures , house price comparisons , inflation , budget
forecasts. taxation or pension forecasts, Food prices , and how
they have changed over time etc.
USE OF GRAPHS
Graphs are used to explain large amounts of data Medical
graphs are used to collect information about patients, such as
graphs showing a 1 to 10 pain scale for patients after surgery.
These charts can help doctors and nurses quickly assess the
effectiveness of pain medications and help doctors determine
when to adjust medications as needed for a patient's comfort.
In business, graphs are used to collect and present data used
to evaluate the effectiveness of sales campaigns and to assess
other aspects of daily business functions, such as comparing
expenses to revenues earned. it is used in rating the climate,
indicate money and sales chart, stock rates and other financial
stuff. it is used to rate annual sales figure. it is used in daily
news papers and magazine. it used in computer networking and
to rate our savings in year. it is used in surveys, monthly
budget, in presentations
The mean of a number of observations is the sum of the values of all the
observations divided by the total number of observations.
It is denoted by the symbol x , read as ‘x bar’.
Mean is used as one of the comparing properties of statistics. It is
defined as the average of all the clarifications.
It helps teachers to see the average marks of the
students.
It is used in factories, for the authorities to recognize
whether the benefits of the workers is continued or not.
It is also used to contrast the salaries of the workers.
To calculate the average speed of anything.
It is also used by the government to find the income or
expenses of any person.
The average daily expenditure in a month of a family
gives the concept of MEAN.
If in a tour, the total money spent by10 students is Rs.
500. Then the average money spent by each student is
Rs. 50. Here Rs. 50 is the mean.
The mode is that value of the observation which occurs most
frequently, i.e., an observation with the maximum frequency
is called the mode.
The no. of games succeeded by any team of players.
The frequency of the need of infants.
Used to find the number of the mode is also seen in
calculation of the wages, in the patients going to
the hospitals, the mode of travel etc.
A shopkeeper, selling shirts, keeps more stock of that
size of shirt which has more sale. Here the size of
that shirt is the mode among other .
A shopkeeper keeps more stock of a particular type of
shoe which has more sale. Here the concept of MODE
applies.
The median is that value of the given number of
observations, which divides it into exactly two parts.
It is used to measure the distribution of the
earnings
Used to find the players height e.g. football players.
To find the middle age from the class students.
Also used to find the poverty line.
If 15 people of different heights are standing
height-wise, then the middle man’s height is the
MEDIAN height.
If you have 25 people lined up next to each other by
age, the median age will be the age of the person in
the very middle. Here the age of the middle person
is the median.
Use of statistics in real life

Mais conteúdo relacionado

Mais procurados

Importance of statistics
Importance of statisticsImportance of statistics
Importance of statisticsSayantiniBiswas
 
Introduction to statistics...ppt rahul
Introduction to statistics...ppt rahulIntroduction to statistics...ppt rahul
Introduction to statistics...ppt rahulRahul Dhaker
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statisticsaan786
 
Meaning and Importance of Statistics
Meaning and Importance of StatisticsMeaning and Importance of Statistics
Meaning and Importance of StatisticsFlipped Channel
 
What is statistics
What is statisticsWhat is statistics
What is statisticsRaj Teotia
 
Basics stat ppt-types of data
Basics stat ppt-types of dataBasics stat ppt-types of data
Basics stat ppt-types of dataFarhana Shaheen
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)YesAnalytics
 
Statistics in real life
Statistics in real lifeStatistics in real life
Statistics in real lifeMuntasirMuhit
 
Sampling distribution
Sampling distributionSampling distribution
Sampling distributionswarna dey
 
descriptive and inferential statistics
descriptive and inferential statisticsdescriptive and inferential statistics
descriptive and inferential statisticsMona Sajid
 
frequency distribution
 frequency distribution frequency distribution
frequency distributionUnsa Shakir
 
Correlation and regression analysis
Correlation and regression analysisCorrelation and regression analysis
Correlation and regression analysis_pem
 
Mean, median, mode, & range ppt
Mean, median, mode, & range pptMean, median, mode, & range ppt
Mean, median, mode, & range pptmashal2013
 
Introduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsIntroduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsDocIbrahimAbdelmonaem
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to StatisticsSaurav Shrestha
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statisticsSantosh Bhandari
 
STATISTICS: Hypothesis Testing
STATISTICS: Hypothesis TestingSTATISTICS: Hypothesis Testing
STATISTICS: Hypothesis Testingjundumaug1
 

Mais procurados (20)

Importance of statistics
Importance of statisticsImportance of statistics
Importance of statistics
 
Introduction to statistics...ppt rahul
Introduction to statistics...ppt rahulIntroduction to statistics...ppt rahul
Introduction to statistics...ppt rahul
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
Meaning and Importance of Statistics
Meaning and Importance of StatisticsMeaning and Importance of Statistics
Meaning and Importance of Statistics
 
DATA Types
DATA TypesDATA Types
DATA Types
 
What is statistics
What is statisticsWhat is statistics
What is statistics
 
Basics stat ppt-types of data
Basics stat ppt-types of dataBasics stat ppt-types of data
Basics stat ppt-types of data
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)
 
Statistics in real life
Statistics in real lifeStatistics in real life
Statistics in real life
 
Sampling distribution
Sampling distributionSampling distribution
Sampling distribution
 
descriptive and inferential statistics
descriptive and inferential statisticsdescriptive and inferential statistics
descriptive and inferential statistics
 
Presentation of data ppt
Presentation of data pptPresentation of data ppt
Presentation of data ppt
 
frequency distribution
 frequency distribution frequency distribution
frequency distribution
 
Correlation and regression analysis
Correlation and regression analysisCorrelation and regression analysis
Correlation and regression analysis
 
Mean, median, mode, & range ppt
Mean, median, mode, & range pptMean, median, mode, & range ppt
Mean, median, mode, & range ppt
 
Probability
ProbabilityProbability
Probability
 
Introduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsIntroduction to Statistics - Basic concepts
Introduction to Statistics - Basic concepts
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
 
STATISTICS: Hypothesis Testing
STATISTICS: Hypothesis TestingSTATISTICS: Hypothesis Testing
STATISTICS: Hypothesis Testing
 

Semelhante a Use of statistics in real life

Mathematics and statistics for Managers
Mathematics and statistics for ManagersMathematics and statistics for Managers
Mathematics and statistics for ManagersDr T.Sivakami
 
What is Statistics
What is StatisticsWhat is Statistics
What is Statisticssidra-098
 
Basic statistical & pharmaceutical statistical applications
Basic statistical & pharmaceutical statistical applicationsBasic statistical & pharmaceutical statistical applications
Basic statistical & pharmaceutical statistical applicationsYogitaKolekar1
 
Statistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialStatistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialPrabal Chakraborty
 
STATISTICS ppt. G11.pptx
STATISTICS ppt. G11.pptxSTATISTICS ppt. G11.pptx
STATISTICS ppt. G11.pptxjarred16
 
Basics of Research Types of Data Classification
Basics of Research Types of Data ClassificationBasics of Research Types of Data Classification
Basics of Research Types of Data ClassificationHarshit Pandey
 
Recapitulation of Basic Statistical Concepts .pptx
Recapitulation of Basic Statistical Concepts .pptxRecapitulation of Basic Statistical Concepts .pptx
Recapitulation of Basic Statistical Concepts .pptxFranCis850707
 
1. week 1
1. week 11. week 1
1. week 1renz50
 

Semelhante a Use of statistics in real life (20)

Mathematics and statistics for Managers
Mathematics and statistics for ManagersMathematics and statistics for Managers
Mathematics and statistics for Managers
 
Statistics Exericse 29
Statistics Exericse 29Statistics Exericse 29
Statistics Exericse 29
 
What is Statistics
What is StatisticsWhat is Statistics
What is Statistics
 
Business statistics
Business statistics Business statistics
Business statistics
 
Statistic note
Statistic noteStatistic note
Statistic note
 
Basic statistical & pharmaceutical statistical applications
Basic statistical & pharmaceutical statistical applicationsBasic statistical & pharmaceutical statistical applications
Basic statistical & pharmaceutical statistical applications
 
Statistics
StatisticsStatistics
Statistics
 
Stats notes
Stats notesStats notes
Stats notes
 
Statistics and agricultural
Statistics and agriculturalStatistics and agricultural
Statistics and agricultural
 
Statistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialStatistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study Material
 
Overview of statistics
Overview of statisticsOverview of statistics
Overview of statistics
 
STATISTICS ppt. G11.pptx
STATISTICS ppt. G11.pptxSTATISTICS ppt. G11.pptx
STATISTICS ppt. G11.pptx
 
Basics of Research Types of Data Classification
Basics of Research Types of Data ClassificationBasics of Research Types of Data Classification
Basics of Research Types of Data Classification
 
Recapitulation of Basic Statistical Concepts .pptx
Recapitulation of Basic Statistical Concepts .pptxRecapitulation of Basic Statistical Concepts .pptx
Recapitulation of Basic Statistical Concepts .pptx
 
Statistics an introduction (1)
Statistics  an introduction (1)Statistics  an introduction (1)
Statistics an introduction (1)
 
Statistics for Management.pptx
Statistics for Management.pptxStatistics for Management.pptx
Statistics for Management.pptx
 
Medical Statistics.pptx
Medical Statistics.pptxMedical Statistics.pptx
Medical Statistics.pptx
 
1. week 1
1. week 11. week 1
1. week 1
 
Probability and statistics
Probability and statisticsProbability and statistics
Probability and statistics
 
PPT1.pptx
PPT1.pptxPPT1.pptx
PPT1.pptx
 

Mais de Harsh Rajput

Phenomena of atmospheric refraction
Phenomena of atmospheric refractionPhenomena of atmospheric refraction
Phenomena of atmospheric refractionHarsh Rajput
 
The great depression
The great depressionThe great depression
The great depressionHarsh Rajput
 
Rutherford's model of an atom and alpha particle scattering experiment
Rutherford's model of an atom and alpha particle scattering experimentRutherford's model of an atom and alpha particle scattering experiment
Rutherford's model of an atom and alpha particle scattering experimentHarsh Rajput
 
Importance of mathematics in our daily life
Importance of mathematics in our daily lifeImportance of mathematics in our daily life
Importance of mathematics in our daily lifeHarsh Rajput
 
Food security in india
Food security in indiaFood security in india
Food security in indiaHarsh Rajput
 

Mais de Harsh Rajput (8)

Phenomena of atmospheric refraction
Phenomena of atmospheric refractionPhenomena of atmospheric refraction
Phenomena of atmospheric refraction
 
Cyclone
CycloneCyclone
Cyclone
 
The great depression
The great depressionThe great depression
The great depression
 
Snake
SnakeSnake
Snake
 
The brook
The brookThe brook
The brook
 
Rutherford's model of an atom and alpha particle scattering experiment
Rutherford's model of an atom and alpha particle scattering experimentRutherford's model of an atom and alpha particle scattering experiment
Rutherford's model of an atom and alpha particle scattering experiment
 
Importance of mathematics in our daily life
Importance of mathematics in our daily lifeImportance of mathematics in our daily life
Importance of mathematics in our daily life
 
Food security in india
Food security in indiaFood security in india
Food security in india
 

Último

Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...ThinkInnovation
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
Statistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfStatistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfnikeshsingh56
 
Role of Consumer Insights in business transformation
Role of Consumer Insights in business transformationRole of Consumer Insights in business transformation
Role of Consumer Insights in business transformationAnnie Melnic
 
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...Jack Cole
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...Dr Arash Najmaei ( Phd., MBA, BSc)
 
IBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaIBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaManalVerma4
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBoston Institute of Analytics
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelBoston Institute of Analytics
 
Presentation of project of business person who are success
Presentation of project of business person who are successPresentation of project of business person who are success
Presentation of project of business person who are successPratikSingh115843
 
Digital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfDigital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfNicoChristianSunaryo
 
DATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etcDATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etclalithasri22
 
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...ThinkInnovation
 

Último (16)

Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
Statistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfStatistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdf
 
Role of Consumer Insights in business transformation
Role of Consumer Insights in business transformationRole of Consumer Insights in business transformation
Role of Consumer Insights in business transformation
 
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
 
IBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaIBEF report on the Insurance market in India
IBEF report on the Insurance market in India
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
 
Data Analysis Project: Stroke Prediction
Data Analysis Project: Stroke PredictionData Analysis Project: Stroke Prediction
Data Analysis Project: Stroke Prediction
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
 
Presentation of project of business person who are success
Presentation of project of business person who are successPresentation of project of business person who are success
Presentation of project of business person who are success
 
2023 Survey Shows Dip in High School E-Cigarette Use
2023 Survey Shows Dip in High School E-Cigarette Use2023 Survey Shows Dip in High School E-Cigarette Use
2023 Survey Shows Dip in High School E-Cigarette Use
 
Digital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfDigital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdf
 
DATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etcDATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etc
 
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
 

Use of statistics in real life

  • 1.
  • 2. CLASS :- X LOTUS GROUP NO:- VI
  • 4. STATISTICS It is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. Also with prediction and forecasting based on data. Statistics form a key basis tool in business and manufacturing as well. It is used to understand measurement systems variability, control processes for summarizing data, and to make data-driven decisions. Some fields of inquiry use applied statistics so extensively that they have specialized terminology. Ex- engineering statistics, social statistics, statistics in sports, etc…
  • 5. ORIGIN The word ‘statistics’ and ‘statistical’ are derived from the Latin word status, means political state.
  • 6. Statistics is concerned with scientific method for collecting and presenting, organizing and summarizing and analyzing data as well as deriving valid conclusions and making reasonable decisions on the basis of this analysis.
  • 7. Statistical methods date back at least to the 5th century BC. Some scholars pinpoint the origin of statistics to 1663, with the publication of Natural and Political Observations by John Graunt. Early applications of statistical thinking revolved around the needs of states to base policy on demographic and economic data. The scope of the discipline of statistics broadened in the early 19th century to include the collection and analysis of data in general. Today, statistics is widely employed in government, business, and natural and social sciences. Blaise Pascal, an early pioneer on the mathematics of probability.
  • 8. Its mathematical foundations were laid in the 17th century with the development of the probability theory by Blaise Pascal and Pierre de Fermat. Mathematical probability theory arose from the study of games of chance, although the concept of probability was already examined in medieval law and by philosophers such as Juan Caramuel. The method of least squares was first described by Adrien-Marie Legendre in 1805. Pierre de Fermat
  • 9. At the turn of the century Sir Francis Galton and Karl Pearson transformed statistics into a rigorous mathematical discipline used for analysis, not just in science, but in industry and politics as well. Galton's contributions to the field included introducing the concepts of standard deviation, correlation, regression and the application of these methods to the study of the variety of human characteristics Pearson developed the Correlation coefficient, defined as a product-moment, the method of moments for the fitting of distributions to samples and the Pearson's system of continuous curves, among many other things. Karl Pearson, a founder of mathematical statistics.
  • 10. Today, statistics is widely employed in government, business, and natural and social sciences. Today, statistical methods are applied in all fields that involve decision making, for making accurate inferences from a collated body of data and for making decisions in the face of uncertainty based on statistical methodology. The use of modern computers has expedited large-scale statistical computations, and has also made possible new methods that are impractical to perform manually. Statistics continues to be an area of active research, for example on the problem of how to analyze big data.
  • 11. INDUSTRIES AND BUSINESS Report of early sales & comparison others. It shows where the factory or its sales lack and where they are good AGRICULTURE What amount of crops are grown this year in comparison to previous year or in comparison to required amount of crop for the country Quality and size of grains grown due to use of different fertilizer.
  • 12. FORESTERY How much growth has been occurred in area under forest or how much forest has been depleted in last 5 years? How much different species of flora and fauna have increased or decreased in last 5 years? EDUCATION Money spend on girls education in comparison to boys education? Increase in no. of girl students who seated in who Seated for different exams? Comparison for result for last 10 years.
  • 13. ECOLOGICAL STUDIES Comparison of increasing impact of pollution on global warming? Increasing effect of nuclear reactors on environment? MEDICAL STUDIES No. of new diseases grown in last 10 year. Increase in no. of patients for a particular disease. SPORTS Used to compare run rates of to different teams. Used to compare to different players.
  • 14. Nowadays graphs are used almost everywhere. In Stock Market, graphs are used to determine the profit margins of Stock. There is always a graph showing how prices have changed over time , unemployment figures , inflation , exchange rates , NASA space stories , global warming statistics , mortgage lending figures , house price comparisons , inflation , budget forecasts. taxation or pension forecasts, Food prices , and how they have changed over time etc. USE OF GRAPHS
  • 15. Graphs are used to explain large amounts of data Medical graphs are used to collect information about patients, such as graphs showing a 1 to 10 pain scale for patients after surgery. These charts can help doctors and nurses quickly assess the effectiveness of pain medications and help doctors determine when to adjust medications as needed for a patient's comfort. In business, graphs are used to collect and present data used to evaluate the effectiveness of sales campaigns and to assess other aspects of daily business functions, such as comparing expenses to revenues earned. it is used in rating the climate, indicate money and sales chart, stock rates and other financial stuff. it is used to rate annual sales figure. it is used in daily news papers and magazine. it used in computer networking and to rate our savings in year. it is used in surveys, monthly budget, in presentations
  • 16. The mean of a number of observations is the sum of the values of all the observations divided by the total number of observations. It is denoted by the symbol x , read as ‘x bar’. Mean is used as one of the comparing properties of statistics. It is defined as the average of all the clarifications.
  • 17. It helps teachers to see the average marks of the students. It is used in factories, for the authorities to recognize whether the benefits of the workers is continued or not. It is also used to contrast the salaries of the workers. To calculate the average speed of anything. It is also used by the government to find the income or expenses of any person. The average daily expenditure in a month of a family gives the concept of MEAN. If in a tour, the total money spent by10 students is Rs. 500. Then the average money spent by each student is Rs. 50. Here Rs. 50 is the mean.
  • 18. The mode is that value of the observation which occurs most frequently, i.e., an observation with the maximum frequency is called the mode.
  • 19. The no. of games succeeded by any team of players. The frequency of the need of infants. Used to find the number of the mode is also seen in calculation of the wages, in the patients going to the hospitals, the mode of travel etc. A shopkeeper, selling shirts, keeps more stock of that size of shirt which has more sale. Here the size of that shirt is the mode among other . A shopkeeper keeps more stock of a particular type of shoe which has more sale. Here the concept of MODE applies.
  • 20. The median is that value of the given number of observations, which divides it into exactly two parts.
  • 21. It is used to measure the distribution of the earnings Used to find the players height e.g. football players. To find the middle age from the class students. Also used to find the poverty line. If 15 people of different heights are standing height-wise, then the middle man’s height is the MEDIAN height. If you have 25 people lined up next to each other by age, the median age will be the age of the person in the very middle. Here the age of the middle person is the median.