SlideShare a Scribd company logo
1 of 18
Course
HISTORY
O The History of statistics can be said to
start around 1749 although, over time, there
have been changes to the interpretation of
the word statistics. In early times, the
meaning was restricted to information
about states. In modern terms, "statistics"
means both sets of collected information,
as in national accounts and temperature
records, and analytical work which
requires statistical inference.
DEFINITION
O Statistics is the sciences and art of dealing
with figures and facts.
O Statistics is well defined as collection,
presentation, analysis and interpretation of
numerical data collected from different
sources.
MY TOPIC
STATISTICAL DATA
O A sequence of observation, made on a set of
objects included in the sample drawn from
population is known as statistical data.
DATA TYPES
UN-GROUPEDDATA:
GROUPED
DATA:
O Data which have
been arranged in a
systematic order are
called raw data or
ungrouped data.
O Data presented in
the form of
frequency
distribution is called
grouped data.
DATA COLLECTION
O The first step in any investigation is
collection of data. The data may be
collected for the whole population or for a
sample only. It is mostly collected on
sample basis. Collection of data is very
difficult job. The investigator is the well
trained person who collects the statistical
data. The respondents are the persons from
whom the information is collected.
What methods should be used to collect
data?
The selection of a method for collecting
information must balance several concerns
including
O Resources must be available
O Analysis and reporting
O Relevant study
O And the skill of the evaluator
Classification of data
Both types are further explained
below:
PRIMARY DATA
O The primary data is the first hand
information collected , compiled and
published by organization for some specific
purpose. They are most original data and
have not yet have gone under any statistical
treatment.
e.g. Population census reports are primary
data because these are collected, complied
and published by the population census
organization.
METHODS
O Personal Investigation: The researcher
conducts the survey and collect data from it.
This data is usually accurate and more reliable.
O Through Investigation: Trained investigators
are employed to collect the data. This data is
collected by contacting individuals and by filling
questionnaire. This is most popular method.
O Collection Through questionnaire:The
researchers get the data from local
representatives that are based upon their own
experience. This method is quick but only rough
estimate.
O Through Telephone: The researchers get
information through telephone this method is
quick and give accurate information but is
expensive.
SECONDARY DATA
O The secondary data are the second hand
information which are already collected by
some organization for some purpose and are
available for the present study. The
secondary data are not pure in character
and have undergone some statistical
treatment at least once.
e.g. Economics survey of a country is
secondary data because these are collected by
more than one organization like Bureau of
statistics, Board of Revenue, the Banks etc…
METHODS
O Official: e.g. employee’s in a bank, Ministry of
finance, Ministry of food, labor etc….
O Semi –Official: e.g. State Bank, Railway Board,
Central Cotton Committee, Boards of Economic
Enquiry etc….
O Technical and trade Journals and Newspapers.
O Research Organizations such as Universities and
other institutes.
To understand the concepts easily let us take an
example.
e.g. Suppose we are interested to find the average
age of MS students. We collect the age’s data by two
methods; either by directly collecting from each
student himself personally or getting their ages
from the university record. The data collected by
the direct personal investigation is called primary
data and the data obtained from the university
record is called secondary data.
FOR BETTER UNDERSTANDING
We have delivered our
message to you. Hope! You
understand that.
Data Collection in statistics(one topic)

More Related Content

What's hot (20)

Descriptive and Inferential Statistics
Descriptive and Inferential StatisticsDescriptive and Inferential Statistics
Descriptive and Inferential Statistics
 
Collection of data
Collection of dataCollection of data
Collection of data
 
Measure of Dispersion in statistics
Measure of Dispersion in statisticsMeasure of Dispersion in statistics
Measure of Dispersion in statistics
 
Data analysis
Data analysisData analysis
Data analysis
 
Primary & Secondary Data
Primary & Secondary DataPrimary & Secondary Data
Primary & Secondary Data
 
Tabulation of data
Tabulation of dataTabulation of data
Tabulation of data
 
Presentation of data ppt
Presentation of data pptPresentation of data ppt
Presentation of data ppt
 
Sampling and its types
Sampling and its typesSampling and its types
Sampling and its types
 
Sampling techniques
Sampling techniques  Sampling techniques
Sampling techniques
 
SAMPLING AND SAMPLING ERRORS
SAMPLING AND SAMPLING ERRORSSAMPLING AND SAMPLING ERRORS
SAMPLING AND SAMPLING ERRORS
 
Biostatistics Tabulation of data
Biostatistics Tabulation of dataBiostatistics Tabulation of data
Biostatistics Tabulation of data
 
Method and tools of data collection
Method and tools of data collectionMethod and tools of data collection
Method and tools of data collection
 
Data and its Types
Data and its TypesData and its Types
Data and its Types
 
Classification of data
Classification of dataClassification of data
Classification of data
 
Sampling techniques
Sampling techniquesSampling techniques
Sampling techniques
 
Non-Probability sampling
Non-Probability samplingNon-Probability sampling
Non-Probability sampling
 
Calculation of arithmetic mean
Calculation of arithmetic meanCalculation of arithmetic mean
Calculation of arithmetic mean
 
Data collection
Data collectionData collection
Data collection
 
Population vs sample
Population vs samplePopulation vs sample
Population vs sample
 
Sampling & data collection Methods
Sampling & data collection MethodsSampling & data collection Methods
Sampling & data collection Methods
 

Viewers also liked

Viewers also liked (7)

The Academic at Whelan's terms and conditions
The Academic at Whelan's terms and conditionsThe Academic at Whelan's terms and conditions
The Academic at Whelan's terms and conditions
 
Statistics collection of data
Statistics collection of dataStatistics collection of data
Statistics collection of data
 
Data Collection and Presentation
Data Collection and PresentationData Collection and Presentation
Data Collection and Presentation
 
Maths Project Power Point Presentation
Maths Project Power Point PresentationMaths Project Power Point Presentation
Maths Project Power Point Presentation
 
Chapter 9-METHODS OF DATA COLLECTION
Chapter 9-METHODS OF DATA COLLECTIONChapter 9-METHODS OF DATA COLLECTION
Chapter 9-METHODS OF DATA COLLECTION
 
Methods of data collection
Methods of data collection Methods of data collection
Methods of data collection
 
Slideshare ppt
Slideshare pptSlideshare ppt
Slideshare ppt
 

Similar to Data Collection in statistics(one topic)

introduction to statistics
introduction to statisticsintroduction to statistics
introduction to statisticsSoujanyaLk1
 
Bahir dar institute of technology.pdf
Bahir dar institute of technology.pdfBahir dar institute of technology.pdf
Bahir dar institute of technology.pdfHailsh
 
Introduction and meanings of Statistics.docx
Introduction and meanings of Statistics.docxIntroduction and meanings of Statistics.docx
Introduction and meanings of Statistics.docxUVAS
 
introductiontostatistics-200902093958.ppt
introductiontostatistics-200902093958.pptintroductiontostatistics-200902093958.ppt
introductiontostatistics-200902093958.pptSoujanyaLk1
 
3-1 Collection of Data.ppt
3-1 Collection of Data.ppt3-1 Collection of Data.ppt
3-1 Collection of Data.pptDeepThinker15
 
INTRO to STATISTICAL THEORY.pdf
INTRO to STATISTICAL THEORY.pdfINTRO to STATISTICAL THEORY.pdf
INTRO to STATISTICAL THEORY.pdfmt6280255
 
What is Statistics
What is StatisticsWhat is Statistics
What is Statisticssidra-098
 
Business Statistics.pdf
Business Statistics.pdfBusiness Statistics.pdf
Business Statistics.pdfssuser25bd39
 
History and definition of statistics
History and definition of statisticsHistory and definition of statistics
History and definition of statisticsMuhammad Kamran
 
STATISTICS INTRODUCTION A.pptx
STATISTICS INTRODUCTION A.pptxSTATISTICS INTRODUCTION A.pptx
STATISTICS INTRODUCTION A.pptxManisha Seth
 
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
 

Similar to Data Collection in statistics(one topic) (20)

introduction to statistics
introduction to statisticsintroduction to statistics
introduction to statistics
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
Bahir dar institute of technology.pdf
Bahir dar institute of technology.pdfBahir dar institute of technology.pdf
Bahir dar institute of technology.pdf
 
Introduction and meanings of Statistics.docx
Introduction and meanings of Statistics.docxIntroduction and meanings of Statistics.docx
Introduction and meanings of Statistics.docx
 
Lecture notes on STS 102
Lecture notes on STS 102Lecture notes on STS 102
Lecture notes on STS 102
 
introductiontostatistics-200902093958.ppt
introductiontostatistics-200902093958.pptintroductiontostatistics-200902093958.ppt
introductiontostatistics-200902093958.ppt
 
Statistics assignment
Statistics assignmentStatistics assignment
Statistics assignment
 
3-1 Collection of Data.ppt
3-1 Collection of Data.ppt3-1 Collection of Data.ppt
3-1 Collection of Data.ppt
 
INTRO to STATISTICAL THEORY.pdf
INTRO to STATISTICAL THEORY.pdfINTRO to STATISTICAL THEORY.pdf
INTRO to STATISTICAL THEORY.pdf
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collection
 
Chapter 7 Knowing Our Data
Chapter 7 Knowing Our DataChapter 7 Knowing Our Data
Chapter 7 Knowing Our Data
 
What is Statistics
What is StatisticsWhat is Statistics
What is Statistics
 
CHAPONE edited Stat.pptx
CHAPONE edited Stat.pptxCHAPONE edited Stat.pptx
CHAPONE edited Stat.pptx
 
Business Statistics.pdf
Business Statistics.pdfBusiness Statistics.pdf
Business Statistics.pdf
 
Business Statistics.pdf
Business Statistics.pdfBusiness Statistics.pdf
Business Statistics.pdf
 
Biostatics
Biostatics Biostatics
Biostatics
 
History and definition of statistics
History and definition of statisticsHistory and definition of statistics
History and definition of statistics
 
STATISTICS INTRODUCTION A.pptx
STATISTICS INTRODUCTION A.pptxSTATISTICS INTRODUCTION A.pptx
STATISTICS INTRODUCTION A.pptx
 
Statistics.pptx
Statistics.pptxStatistics.pptx
Statistics.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
 

Recently uploaded

Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...soniya singh
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一ffjhghh
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxStephen266013
 
Predicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project PresentationPredicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project PresentationBoston Institute of Analytics
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...Suhani Kapoor
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiSuhani Kapoor
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改atducpo
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 

Recently uploaded (20)

VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
 
Decoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in ActionDecoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in Action
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docx
 
Predicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project PresentationPredicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project Presentation
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 

Data Collection in statistics(one topic)

  • 1.
  • 3. HISTORY O The History of statistics can be said to start around 1749 although, over time, there have been changes to the interpretation of the word statistics. In early times, the meaning was restricted to information about states. In modern terms, "statistics" means both sets of collected information, as in national accounts and temperature records, and analytical work which requires statistical inference.
  • 4. DEFINITION O Statistics is the sciences and art of dealing with figures and facts. O Statistics is well defined as collection, presentation, analysis and interpretation of numerical data collected from different sources.
  • 6. STATISTICAL DATA O A sequence of observation, made on a set of objects included in the sample drawn from population is known as statistical data.
  • 7. DATA TYPES UN-GROUPEDDATA: GROUPED DATA: O Data which have been arranged in a systematic order are called raw data or ungrouped data. O Data presented in the form of frequency distribution is called grouped data.
  • 8. DATA COLLECTION O The first step in any investigation is collection of data. The data may be collected for the whole population or for a sample only. It is mostly collected on sample basis. Collection of data is very difficult job. The investigator is the well trained person who collects the statistical data. The respondents are the persons from whom the information is collected.
  • 9. What methods should be used to collect data? The selection of a method for collecting information must balance several concerns including O Resources must be available O Analysis and reporting O Relevant study O And the skill of the evaluator
  • 10. Classification of data Both types are further explained below:
  • 11. PRIMARY DATA O The primary data is the first hand information collected , compiled and published by organization for some specific purpose. They are most original data and have not yet have gone under any statistical treatment. e.g. Population census reports are primary data because these are collected, complied and published by the population census organization.
  • 12. METHODS O Personal Investigation: The researcher conducts the survey and collect data from it. This data is usually accurate and more reliable. O Through Investigation: Trained investigators are employed to collect the data. This data is collected by contacting individuals and by filling questionnaire. This is most popular method.
  • 13. O Collection Through questionnaire:The researchers get the data from local representatives that are based upon their own experience. This method is quick but only rough estimate. O Through Telephone: The researchers get information through telephone this method is quick and give accurate information but is expensive.
  • 14. SECONDARY DATA O The secondary data are the second hand information which are already collected by some organization for some purpose and are available for the present study. The secondary data are not pure in character and have undergone some statistical treatment at least once. e.g. Economics survey of a country is secondary data because these are collected by more than one organization like Bureau of statistics, Board of Revenue, the Banks etc…
  • 15. METHODS O Official: e.g. employee’s in a bank, Ministry of finance, Ministry of food, labor etc…. O Semi –Official: e.g. State Bank, Railway Board, Central Cotton Committee, Boards of Economic Enquiry etc…. O Technical and trade Journals and Newspapers. O Research Organizations such as Universities and other institutes.
  • 16. To understand the concepts easily let us take an example. e.g. Suppose we are interested to find the average age of MS students. We collect the age’s data by two methods; either by directly collecting from each student himself personally or getting their ages from the university record. The data collected by the direct personal investigation is called primary data and the data obtained from the university record is called secondary data. FOR BETTER UNDERSTANDING
  • 17. We have delivered our message to you. Hope! You understand that.