This document provides an introduction to statistics. It defines statistics as the collection, organization, analysis, and interpretation of numerical data. It discusses the key characteristics of statistics such as being aggregate facts, numerically expressed, and collected systematically. It also outlines some common measures of central tendency used in statistics like the mean, median, and mode which summarize the central or typical values in a data set. Finally, it discusses the importance of presenting data through tables and charts to facilitate analysis and interpretation.
Notes of BBA /B.Com as well as BCA. It will help average students to learn Business Statistics. It will help MBA and PGDM students in Quantitative Analysis.
Statisticians help collect, analyze, and interpret numerical data to solve problems and make predictions. The steps of statistical analysis involve collecting information, evaluating it, and drawing conclusions. Statisticians work in a variety of fields such as medicine, government, education, business, and more. They help determine sampling methods, process data, and advise on the strengths and limitations of statistical results.
This document provides an introduction to statistics. It defines statistics as the science of collecting, organizing, analyzing, and interpreting data to make decisions. The origin of statistics can be traced back to Latin and other languages where it referred to the administration of a political state. In modern times, statistics is used across many fields to quantify information. Primary data is collected directly from original sources while secondary data has already been collected by others. Various methods are discussed for collecting primary data including questionnaires, surveys, and interviews.
Statistics is a basic and important tool for professionals in all fields all over the worlds. This document provides the importance and scope of Statistics in major fields of study like a business, management, planning etc.
For a detailed explanation Watch the Youtube video:
https://youtu.be/cZlGTckM1AE
introduction to statistics,origin definition,characteristics of statistics, Data collection- primary data, secondary data, difference, sources of primary and secondary data collection, questionnaire vs schedules, limitations of statistics, scrutiny of data
This document provides information about statistics and data. It discusses that statistics is the science of collecting, organizing, analyzing, and interpreting data. The term statistics originated from Latin and Italian words meaning political state. Originally, statistics was used for administrative needs of states, but now is used more broadly. Statistics can refer to either numerical data (plural sense) or the science of analyzing data (singular sense). The document also discusses definitions of statistics, characteristics of statistics, sources of primary and secondary data, methods of collecting primary data, and limitations of statistics.
Statistics is the collection, organization, analysis, interpretation, and presentation of data. It involves numerically expressing facts in a systematic manner and relating them to each other to aid decision making under uncertainty. The key functions of statistics include presenting facts definitively, enabling comparison and correlation, formulating and testing hypotheses, forecasting, and informing policymaking. Statistics has wide applications in fields such as business, government, healthcare, and research.
Chapter 1 Introduction to statistics, Definitions, scope and limitations.pptxSubashYadav14
This document provides an introduction to statistics, including definitions, scope, and limitations. It defines statistics as both numerical facts and the methods used to collect, analyze, and interpret those facts. Several authors' definitions of statistics are presented, emphasizing that statistics are aggregates of numerically expressed or estimated facts affected by multiple causes and collected systematically. The functions of statistics are described as simplifying data, enabling comparisons, and guiding policy decisions. The importance of statistics in fields like planning, business, economics, administration, and agriculture is discussed. Descriptive and inferential statistics are briefly introduced, as are some limitations of statistical analysis.
Notes of BBA /B.Com as well as BCA. It will help average students to learn Business Statistics. It will help MBA and PGDM students in Quantitative Analysis.
Statisticians help collect, analyze, and interpret numerical data to solve problems and make predictions. The steps of statistical analysis involve collecting information, evaluating it, and drawing conclusions. Statisticians work in a variety of fields such as medicine, government, education, business, and more. They help determine sampling methods, process data, and advise on the strengths and limitations of statistical results.
This document provides an introduction to statistics. It defines statistics as the science of collecting, organizing, analyzing, and interpreting data to make decisions. The origin of statistics can be traced back to Latin and other languages where it referred to the administration of a political state. In modern times, statistics is used across many fields to quantify information. Primary data is collected directly from original sources while secondary data has already been collected by others. Various methods are discussed for collecting primary data including questionnaires, surveys, and interviews.
Statistics is a basic and important tool for professionals in all fields all over the worlds. This document provides the importance and scope of Statistics in major fields of study like a business, management, planning etc.
For a detailed explanation Watch the Youtube video:
https://youtu.be/cZlGTckM1AE
introduction to statistics,origin definition,characteristics of statistics, Data collection- primary data, secondary data, difference, sources of primary and secondary data collection, questionnaire vs schedules, limitations of statistics, scrutiny of data
This document provides information about statistics and data. It discusses that statistics is the science of collecting, organizing, analyzing, and interpreting data. The term statistics originated from Latin and Italian words meaning political state. Originally, statistics was used for administrative needs of states, but now is used more broadly. Statistics can refer to either numerical data (plural sense) or the science of analyzing data (singular sense). The document also discusses definitions of statistics, characteristics of statistics, sources of primary and secondary data, methods of collecting primary data, and limitations of statistics.
Statistics is the collection, organization, analysis, interpretation, and presentation of data. It involves numerically expressing facts in a systematic manner and relating them to each other to aid decision making under uncertainty. The key functions of statistics include presenting facts definitively, enabling comparison and correlation, formulating and testing hypotheses, forecasting, and informing policymaking. Statistics has wide applications in fields such as business, government, healthcare, and research.
Chapter 1 Introduction to statistics, Definitions, scope and limitations.pptxSubashYadav14
This document provides an introduction to statistics, including definitions, scope, and limitations. It defines statistics as both numerical facts and the methods used to collect, analyze, and interpret those facts. Several authors' definitions of statistics are presented, emphasizing that statistics are aggregates of numerically expressed or estimated facts affected by multiple causes and collected systematically. The functions of statistics are described as simplifying data, enabling comparisons, and guiding policy decisions. The importance of statistics in fields like planning, business, economics, administration, and agriculture is discussed. Descriptive and inferential statistics are briefly introduced, as are some limitations of statistical analysis.
Basics of Research Types of Data ClassificationHarshit Pandey
This document provides an introduction and overview of research methods and statistics. It begins by outlining the origins and early contributors to statistics as a field, including its use in state administration starting in the 17th century. Key concepts in statistics such as variables, populations, samples, and levels of measurement are then defined. The document distinguishes between descriptive and inferential statistics, outlining common techniques for each. It concludes by discussing the scope and limitations of statistics as a scientific discipline.
This document provides an introduction to statistics, including definitions, objectives, functions, scope, and limitations. It defines statistics as the science of collecting, analyzing, and interpreting quantitative data. The objectives of statistics include making sense of large data sets and using data to forecast trends and examine changes. Statistics has broad applications across government, business, economics, science and other fields. However, it also has limitations such as ignoring qualitative factors and not revealing all details. The document also outlines the steps involved in a statistical investigation, including planning and executing a study.
This document provides an overview of statistics as a subject. It begins by defining statistics as both numerical data and statistical methods. It then discusses various types of data including primary and secondary data. Key aspects of working with data are covered such as classification, tabulation, presentation, analysis, and interpretation. The importance of statistics in fields like business, economics, and education is highlighted. Limitations of statistics and causes of distrust are also reviewed.
This document provides information about a statistics course, including:
- The course is taught by Prof. T RAMA KRISHNA RAO and covers 5 units: measures of central tendency, measures of variation, correlation analysis, index numbers, and time series analysis.
- Previous year question papers from 2016-2013 are provided, with questions on topics like defining statistics, classification vs tabulation, and representing data visually.
- Key concepts from the first unit on statistics are defined, like data, characteristics of statistics, importance and scope of statistics, and limitations of statistics. Data sources like primary and secondary data are also mentioned.
Mini project file for MBA student of aktu first years9101hubham
Statistics is applied in many fields to help promote human welfare and frame suitable policies. Governments are major collectors and users of statistical data. Statistics also helps businesses analyze activities and make informed decisions through market research. Statistical data and methods aid in understanding economic problems and forming economic policies. Statistics is used in psychology, education, and natural sciences to measure human traits and abilities through tests, and aid medical diagnosis by analyzing factual health data.
Statistics is the science of collecting, organizing, summarizing, analyzing, and interpreting data. It has its origins in Latin and other languages and refers to quantitative aspects of data management and meaningful interpretation. Statistics can be used in both plural and singular senses - referring either to numerical data or the methods used to analyze data. It is useful for converting random data into understandable information to aid in decision making. Statistics has important applications in business, government, industry, economics, and other fields for functions like presenting information simply, comparing facts, formulating policies, and forecasting.
This document discusses the scope and uses of statistics across various fields such as planning, economics, business, industry, mathematics, science, psychology, education, war, banking, government, sociology, and more. It outlines functions of statistics like presenting facts, testing hypotheses, forecasting, policymaking, enlarging knowledge, measuring uncertainty, simplifying data, deriving valid inferences, and drawing rational conclusions. It also covers characteristics, advantages, and limitations of statistics.
This document provides an introduction and overview of statistics. It discusses that statistics refers to both the collection and analysis of quantitative data, as well as the scientific methods used. The document outlines the key stages of statistics including data collection, organization, presentation, analysis and interpretation. It also discusses the nature of statistics as both a science and an art. The subject matter is divided into descriptive and inferential statistics. Limitations, scope, functions and importance of statistics are also summarized.
1. The document discusses the meaning, uses, functions, importance and limitations of statistics. It defines statistics as the collection, presentation, analysis and interpretation of numerical data.
2. Statistics has various uses across different fields such as policy planning, management, education, commerce and accounts. It helps present facts precisely and enables comparison, correlation, formulation and testing of hypotheses, and forecasting.
3. While statistics is important for planning, administration, economics and more, it also has limitations such as only studying aggregates, numerical data, and being an average. Statistics can also be misused if not used carefully by experts.
Unit 1 Introduction to Statistics with history (1).pptxDrSJayashree
This document provides an overview of an introductory statistics course, outlining 6 units of study and their associated hours. Unit 1 covers basic concepts for 5 hours. Unit 2 covers diagrams and graphs for 7 hours. Unit 3 covers measures of central tendency, like mean, median and mode, for 15 hours. Unit 4 covers measures of dispersion like range and standard deviation for 13 hours. Unit 5 covers correlation and regression analysis for 10 hours. Unit 6 covers time series analysis for 10 hours.
DEFINITION OF STATISTICS,IMPORTANCE & LIMITATIONS OF STATISTICS,STATISTICAL INVESTIGATION,COLLECTION OF DATA,SOURCES OF DATA,PRIMARY DATA,SECONDARY DATA,QUESTIONNAIRE,SCHEDULE,TABULATION OF DATA,COLLECTION OF DATA,STATISTICS
Statistics is the science of collecting, analyzing, and interpreting numerical data. It has evolved from early uses by governments to understand populations for taxation and military purposes. Modern statistics developed in the 18th-19th centuries and saw rapid growth in the 20th century with advances in computing. Statistics has two main branches - descriptive statistics which involves data presentation and inference statistics which uses data analysis to make estimates and test hypotheses. Statistics is widely used across many fields including business, economics, mathematics, and banking to facilitate decision making.
Introduction statistical techinique in business and eonomics by douglas a lindRubel Islam
This document provides an overview of basic statistics. It discusses the origin and meaning of statistics, including its derivation from the Latin word "status" and its use as a measure of economic, political, and social conditions. Statistics is defined as the collection, organization, analysis, and interpretation of data, and it is divided into descriptive statistics which summarizes data and inferential statistics which determines something about a population from a sample. The document also covers types of statistics, importance of statistics, characteristics, limitations, and abuses of statistics.
This document provides an overview of statistics used in business management. It defines descriptive and inferential statistics, and notes some common applications like marketing, production, finance, and accounting. Statistics is important for planning, economics, industry, science, education, and war. The document outlines limitations of statistics and provides references for further reading.
This document provides an overview of quantitative techniques used for business analysis, specifically covering topics in statistics. It includes a table of contents listing 8 chapters that cover topics such as data collection, presentation of data through tables and graphs, measures of central tendency and dispersion, probability, and introduction to statistics. The introduction discusses how statistics can be used descriptively to summarize data or inferentially to draw conclusions about populations. It emphasizes the importance of statistics across many fields.
A power point presentation on statisticsKriace Ward
Statistics originated from Latin, Italian, and German words referring to organized states. Gottfried Achenwall is considered the "father of statistics" for coining the term to describe a specialized branch of knowledge. Modern statistics is defined as the science of judging collective phenomena through analysis and enumeration. While statistics can be an art and a science, its successful application depends on the skill of the statistician and their knowledge of the field being studied. Statistics are important across many domains from business, economics, and planning to the sciences. However, statistics also have limitations such as only studying aggregates, not individuals, and results being valid only on average and in the long run.
This document discusses statistics and their uses in various fields such as business, health, learning, research, social sciences, and natural resources. It provides examples of how statistics are used in starting businesses, manufacturing, marketing, and engineering. Statistics help decision-makers reduce ambiguity and assess risks. They are used to interpret data and make informed decisions. However, statistics also have limitations as they only show averages and may not apply to individuals.
Statistics is the systematic collection, organization, analysis, and interpretation of data. It plays an important role in decision making by helping extract meaningful information from raw data. There are two main types of statistics - descriptive statistics which summarizes and presents data, and inferential statistics which makes inferences, tests hypotheses, and determines relationships in the data. Statistics has many applications in fields like business, medicine, economics and more. It helps simplify complex data, enable comparisons, identify trends, and aid decision making. Common statistical terms include population, sample, variables, attributes, and parameters. Data can be collected through various methods including direct observation, interviews, questionnaires, and more.
The document discusses business statistics and its importance. It defines statistics as the study of collecting, organizing, analyzing, and interpreting numerical data. There are five stages to statistical investigation: data collection, organization, presentation, analysis, and interpretation of results. Statistics helps simplify complex data, facilitate comparison between data sets, test hypotheses, formulate policies, and derive valid inferences. However, statistics has limitations as it does not study individuals, statistical laws are approximations rather than exact, and it only analyzes aggregated data rather than individual observations.
This document provides an introduction to statistics and data collection methods. It discusses key concepts such as:
1. The difference between economic and non-economic activities, and definitions of common economic roles like consumers, producers, service holders and service providers.
2. The stages of collecting statistical data, including primary and secondary sources, methods of collecting primary data, and the differences between primary and secondary data.
3. Methods of organizing raw data through classification, frequency distributions, and other statistical techniques. Common approaches to presenting organized data are also outlined, including tables, diagrams and graphs.
4. Sampling methods like census surveys and sample surveys are introduced, along with the differences between them. Key organizations involved in
Basics of Research Types of Data ClassificationHarshit Pandey
This document provides an introduction and overview of research methods and statistics. It begins by outlining the origins and early contributors to statistics as a field, including its use in state administration starting in the 17th century. Key concepts in statistics such as variables, populations, samples, and levels of measurement are then defined. The document distinguishes between descriptive and inferential statistics, outlining common techniques for each. It concludes by discussing the scope and limitations of statistics as a scientific discipline.
This document provides an introduction to statistics, including definitions, objectives, functions, scope, and limitations. It defines statistics as the science of collecting, analyzing, and interpreting quantitative data. The objectives of statistics include making sense of large data sets and using data to forecast trends and examine changes. Statistics has broad applications across government, business, economics, science and other fields. However, it also has limitations such as ignoring qualitative factors and not revealing all details. The document also outlines the steps involved in a statistical investigation, including planning and executing a study.
This document provides an overview of statistics as a subject. It begins by defining statistics as both numerical data and statistical methods. It then discusses various types of data including primary and secondary data. Key aspects of working with data are covered such as classification, tabulation, presentation, analysis, and interpretation. The importance of statistics in fields like business, economics, and education is highlighted. Limitations of statistics and causes of distrust are also reviewed.
This document provides information about a statistics course, including:
- The course is taught by Prof. T RAMA KRISHNA RAO and covers 5 units: measures of central tendency, measures of variation, correlation analysis, index numbers, and time series analysis.
- Previous year question papers from 2016-2013 are provided, with questions on topics like defining statistics, classification vs tabulation, and representing data visually.
- Key concepts from the first unit on statistics are defined, like data, characteristics of statistics, importance and scope of statistics, and limitations of statistics. Data sources like primary and secondary data are also mentioned.
Mini project file for MBA student of aktu first years9101hubham
Statistics is applied in many fields to help promote human welfare and frame suitable policies. Governments are major collectors and users of statistical data. Statistics also helps businesses analyze activities and make informed decisions through market research. Statistical data and methods aid in understanding economic problems and forming economic policies. Statistics is used in psychology, education, and natural sciences to measure human traits and abilities through tests, and aid medical diagnosis by analyzing factual health data.
Statistics is the science of collecting, organizing, summarizing, analyzing, and interpreting data. It has its origins in Latin and other languages and refers to quantitative aspects of data management and meaningful interpretation. Statistics can be used in both plural and singular senses - referring either to numerical data or the methods used to analyze data. It is useful for converting random data into understandable information to aid in decision making. Statistics has important applications in business, government, industry, economics, and other fields for functions like presenting information simply, comparing facts, formulating policies, and forecasting.
This document discusses the scope and uses of statistics across various fields such as planning, economics, business, industry, mathematics, science, psychology, education, war, banking, government, sociology, and more. It outlines functions of statistics like presenting facts, testing hypotheses, forecasting, policymaking, enlarging knowledge, measuring uncertainty, simplifying data, deriving valid inferences, and drawing rational conclusions. It also covers characteristics, advantages, and limitations of statistics.
This document provides an introduction and overview of statistics. It discusses that statistics refers to both the collection and analysis of quantitative data, as well as the scientific methods used. The document outlines the key stages of statistics including data collection, organization, presentation, analysis and interpretation. It also discusses the nature of statistics as both a science and an art. The subject matter is divided into descriptive and inferential statistics. Limitations, scope, functions and importance of statistics are also summarized.
1. The document discusses the meaning, uses, functions, importance and limitations of statistics. It defines statistics as the collection, presentation, analysis and interpretation of numerical data.
2. Statistics has various uses across different fields such as policy planning, management, education, commerce and accounts. It helps present facts precisely and enables comparison, correlation, formulation and testing of hypotheses, and forecasting.
3. While statistics is important for planning, administration, economics and more, it also has limitations such as only studying aggregates, numerical data, and being an average. Statistics can also be misused if not used carefully by experts.
Unit 1 Introduction to Statistics with history (1).pptxDrSJayashree
This document provides an overview of an introductory statistics course, outlining 6 units of study and their associated hours. Unit 1 covers basic concepts for 5 hours. Unit 2 covers diagrams and graphs for 7 hours. Unit 3 covers measures of central tendency, like mean, median and mode, for 15 hours. Unit 4 covers measures of dispersion like range and standard deviation for 13 hours. Unit 5 covers correlation and regression analysis for 10 hours. Unit 6 covers time series analysis for 10 hours.
DEFINITION OF STATISTICS,IMPORTANCE & LIMITATIONS OF STATISTICS,STATISTICAL INVESTIGATION,COLLECTION OF DATA,SOURCES OF DATA,PRIMARY DATA,SECONDARY DATA,QUESTIONNAIRE,SCHEDULE,TABULATION OF DATA,COLLECTION OF DATA,STATISTICS
Statistics is the science of collecting, analyzing, and interpreting numerical data. It has evolved from early uses by governments to understand populations for taxation and military purposes. Modern statistics developed in the 18th-19th centuries and saw rapid growth in the 20th century with advances in computing. Statistics has two main branches - descriptive statistics which involves data presentation and inference statistics which uses data analysis to make estimates and test hypotheses. Statistics is widely used across many fields including business, economics, mathematics, and banking to facilitate decision making.
Introduction statistical techinique in business and eonomics by douglas a lindRubel Islam
This document provides an overview of basic statistics. It discusses the origin and meaning of statistics, including its derivation from the Latin word "status" and its use as a measure of economic, political, and social conditions. Statistics is defined as the collection, organization, analysis, and interpretation of data, and it is divided into descriptive statistics which summarizes data and inferential statistics which determines something about a population from a sample. The document also covers types of statistics, importance of statistics, characteristics, limitations, and abuses of statistics.
This document provides an overview of statistics used in business management. It defines descriptive and inferential statistics, and notes some common applications like marketing, production, finance, and accounting. Statistics is important for planning, economics, industry, science, education, and war. The document outlines limitations of statistics and provides references for further reading.
This document provides an overview of quantitative techniques used for business analysis, specifically covering topics in statistics. It includes a table of contents listing 8 chapters that cover topics such as data collection, presentation of data through tables and graphs, measures of central tendency and dispersion, probability, and introduction to statistics. The introduction discusses how statistics can be used descriptively to summarize data or inferentially to draw conclusions about populations. It emphasizes the importance of statistics across many fields.
A power point presentation on statisticsKriace Ward
Statistics originated from Latin, Italian, and German words referring to organized states. Gottfried Achenwall is considered the "father of statistics" for coining the term to describe a specialized branch of knowledge. Modern statistics is defined as the science of judging collective phenomena through analysis and enumeration. While statistics can be an art and a science, its successful application depends on the skill of the statistician and their knowledge of the field being studied. Statistics are important across many domains from business, economics, and planning to the sciences. However, statistics also have limitations such as only studying aggregates, not individuals, and results being valid only on average and in the long run.
This document discusses statistics and their uses in various fields such as business, health, learning, research, social sciences, and natural resources. It provides examples of how statistics are used in starting businesses, manufacturing, marketing, and engineering. Statistics help decision-makers reduce ambiguity and assess risks. They are used to interpret data and make informed decisions. However, statistics also have limitations as they only show averages and may not apply to individuals.
Statistics is the systematic collection, organization, analysis, and interpretation of data. It plays an important role in decision making by helping extract meaningful information from raw data. There are two main types of statistics - descriptive statistics which summarizes and presents data, and inferential statistics which makes inferences, tests hypotheses, and determines relationships in the data. Statistics has many applications in fields like business, medicine, economics and more. It helps simplify complex data, enable comparisons, identify trends, and aid decision making. Common statistical terms include population, sample, variables, attributes, and parameters. Data can be collected through various methods including direct observation, interviews, questionnaires, and more.
The document discusses business statistics and its importance. It defines statistics as the study of collecting, organizing, analyzing, and interpreting numerical data. There are five stages to statistical investigation: data collection, organization, presentation, analysis, and interpretation of results. Statistics helps simplify complex data, facilitate comparison between data sets, test hypotheses, formulate policies, and derive valid inferences. However, statistics has limitations as it does not study individuals, statistical laws are approximations rather than exact, and it only analyzes aggregated data rather than individual observations.
This document provides an introduction to statistics and data collection methods. It discusses key concepts such as:
1. The difference between economic and non-economic activities, and definitions of common economic roles like consumers, producers, service holders and service providers.
2. The stages of collecting statistical data, including primary and secondary sources, methods of collecting primary data, and the differences between primary and secondary data.
3. Methods of organizing raw data through classification, frequency distributions, and other statistical techniques. Common approaches to presenting organized data are also outlined, including tables, diagrams and graphs.
4. Sampling methods like census surveys and sample surveys are introduced, along with the differences between them. Key organizations involved in
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Specific ServPoints should be tailored for restaurants in all food service segments. Your ServPoints should be the centerpiece of brand delivery training (guest service) and align with your brand position and marketing initiatives, especially in high-labor-cost conditions.
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Org Topologies™ in its essence is a two-dimensional space with 16 distinctive boxes - atomic organizational archetypes. That space helps you to plot your current operating model by positioning individuals, departments, and teams on the map. This will give a profound understanding of the performance of your value-creating organizational ecosystem.
2. DEFINITIONS
According to Prof. Horace Secrist:
"Statistics is the aggregate of facts affected to a marked extent by the multiplicity of causes, numerically
expressed, enumerated or estimated according to reasonable standards of accuracy, collected in a
systematic manner for a pre-determined purpose and placed in relation to each other."
“The subject statistics is concerned with the collection, presentation, description and analysis of data
which are measurable in numerical forms” P.H Karmel
DR. MANISHA SETH
3. Conclusion : Statistics is a science and an art which deals with collection,
classification, tabulation, presentation, establishment of relationship,
interpretation and forecasting of data in connection with social, economic,
natural and other problems so that predetermined aims may be achieved”
DR. MANISHA SETH
4. CHIEF CHARACTERISTICS OF STATISTICS
Statistics are aggregate of facts
Statistics must be numerically expressed
Statistics should be collected for a pre-determined purpose
Statistics should be collected in a systematic manner
Statistics should be capable of being placed in relation to each other
Statistics are affected to a great extent by a multiplicity of causes
Statistics are enumerated or estimated according to reasonable standards of accuracy
A reasonable standard of accuracy should be maintained in the collection of statistics
DR. MANISHA SETH
5. 1. STATISTICS ARE AGGREGATE OF FACTS
A single numerical figure is not statistics. For example, the height of an individual, the price of a certain
commodity does not form statistics as are unrelated and incomparable.
But the aggregate of such figures of births, imports, exports, etc. constitute statistics as these figures
can study in relation to time, place, and frequency of occurred.
DR. MANISHA SETH
6. STATISTICS MUST BE NUMERICALLY EXPRESSED
Qualitatively expressed statements such as “india is a developing country", "The cement production
in Indiais increasing", etc. do not constitute statistics.
But the quantitative statement In 1990, the production of wheat was 20 thousand metric tonnes
compared to 15 thousand metric tonnes in 1985" constitutes statistics.
DR. MANISHA SETH
7. STATISTICS SHOULD BE COLLECTED FOR A PRE-
DETERMINED PURPOSE
The objective or the purpose of the inquiry should be clearly stated before collecting the data. The data
collected without any pre-determined purpose objective may not be useful for the inquiry. So it is of at most
important define in clear and concrete terms the objective or the purpose of the inquiry.
DR. MANISHA SETH
8. STATISTICS SHOULD BE COLLECTED IN A SYSTEMATIC
MANNER
A suitable plan should be prepared for data collection and the work should be carried out in a systematic
manner. If the data are collected haphazardly, the conclusions may be wrong or miss leading.
DR. MANISHA SETH
9. STATISTICS SHOULD BE CAPABLE OF BEING PLACED IN
RELATION TO EACH OTHER
The numerical data should be comparable, as statistics are collected mostly for the purpose of
comparisons. The numerical data collected constitutes statistics if they are comparable. In order to make
valid comparisons, the data should be homogeneous and uniform.
For example, the export figure commodity for different years constitutes statistics as they are
comparable. But the height of a student and his intelligence quotient (I.Q) do not constitute statistics as
they are not comparable.
Thus, we conclude that "All statistics are numerical statements of facts but all numerical
statements of facts are not statistics."
DR. MANISHA SETH
10. STATISTICS ARE AFFECTED TO A GREAT EXTENT BY A
MULTIPLICITY OF CAUSES
Numerical figures should be affected by a large number of causes.
For example, statistics of the production of a crop are affected by various factors s as the amount of
rain fall, quality of seeds, amount of fertilizer used, etc
DR. MANISHA SETH
11. STATISTICS ARE ENUMERATED OR ESTIMATED
ACCORDING TO REASONABLE STANDARDS OF ACCURACY
Data may be collected either by actual counting and measurement or by estimation. The figures
obtained by counting and measurement will be exact and accurate but the figures estimated can not be as
accurate as those obtained by and measurement.
The degree of accuracy of the estimated values largely depends on the nature and purpose of the
inquiry.
For example, while measuring the height of the people, accuracy will be aimed in terms of a fraction of
an inch whereas in measuring the distance between two cities it may be in terms of km.
DR. MANISHA SETH
12. 5 STAGES IN STATISTICAL INVESTIGATION
1. Collection of data
2. Organization
3. Presentation (diagram ,graph )
4. Analysis
5. Interpretation
Statistics is a method of decision making in the face of uncertainty on the basis of numerical data and
calculated risk .
DR. MANISHA SETH
13. FUNCTIONS OF STATISTICS
1. It presents facts in a definite form
2. It simplifies mass of figures
3. It facilitates comparison
4. It helps in formulating and testing hypothesis
5. It helps in prediction
6. It helps in formulation of suitable policies
DR. MANISHA SETH
14. IMPORTANCE OF STATISTICS
Statistics and planning
Statistics and economics
Statistics and business
Statistics and industry
Statistics and research
Statistics and war
DR. MANISHA SETH
15. LIMITATIONS OF STATISTICS
1. Statistics is unable to explain individual items
2. Statistics are unable to study qualitative characters
3. Statistical results are not accurately correct
4. Statistics deal with average
5. Statistics is only one of the methods of studying a given problem
6. Statistics is liable to be misused
7. Qualitative Aspect Ignored
8. Many methods to study problems
9. Results are true only on average
10.Statistical laws are not exact
DR. MANISHA SETH
16. TWO BRANCHES OF STATISTICS USED IN BUSINESS
DR. MANISHA SETH
17. THESE TWO BRANCHES ARE USED IN THE IMPORTANT
ACTIVITIES
DR. MANISHA SETH
24. DATA
Data constitute the foundation of statistical analysis and interpretation
Type of data
Primary data
secondary data
Sources of data
Primary source
Secondary source
Methods of collecting primary data and secondary data
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25. STATISTICAL DATA
They are available in raw form called raw data
They are facts expressed numerically
They are descriptive
Meant for Processing and Processed data in decision
No sense without Application of Statistical Methods
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26. SECONDARY DATA
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The data prepared by highly skilled man powers is called "Secondary data".
In other words; the data which are initially collected by someone but obtained from some published
or unpublished sources are called "Secondary data". This data is not original in character.
27. METHOD OF SECONDARY DATA COLLECTION
In this case, the investigator uses only those data which have already been collected and used by
others.
Secondary data can be collected from the following two sources:
1. Published Sources
2. Unpublished Sources
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28. 1. PUBLISHED SOURCES
1. Official publication published by
1. Government such as report of C.B.S (Central Bureau of Statistics).
2. Reports of International Organisation such as World Health Organisation, U.N.O.(United Nations
Organisation),
3. World Bank,
4. International Labour Organisation,
5. International Monetary Fund etc.
1. Non- governmental (i.e. private) publications, such as
1. Reports of N.G. O
• Publications of individual intellectuals and scholars.
• Financial and economic journals.
• Reports of trade associations, magazines, market reports etc.
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29. UNPUBLISHED SOURCE
All the informations may not be published but may be suitable for the purpose of investigation.
An unpublished information may be useful to investigator for his conclusion.
The sources of unpublished data are
• report of private offices
• hospital records
• material collected by researchers
• records of campus administrations etc.
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30. PRIMARY DATA
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The data collected for the first time by the investigator himself from the field of enquiry is called "primary data".
An investigator can collect using different methods for his own purpose of investigation.
Hence, the primary data is original in character.
For example, if an investigator wants to investigate the incomes of workers of all the companies of Country, then the d
(i.e. income) collected by the investigator himself or his representative, are called primary data.
31. METHOD OF PRIMARY DATA COLLECTION
The following are the various methods of collecting primary data.
1. Direct personal contact
2. Indirect oral interviews
3. Mailed questionnaire
4. Questionnaire sent through enumerators
DR. MANISHA SETH
32. 1. DIRECT PERSONAL CONTACT (INTERVIEWS)
1. In this method, the investigators (or, interviewer) collect data by personally contacting the respondents.
Merits
1. Information collected by this method is more accurate
2. Responsibility of the data is very high
3. Extra supplementary information can be obtained which may help in drawing conclusion
4. Proper language and technique can be adopted according to the nature and status of the informant
5. Sensitive type of questions can be asked at such time only when the informants feel at home with the
interviewer
Demerits
1. It consumes time and money
2. Accurate informations can not be obtained due to personal bias
3. This method is not applicable if the field of investigation is not narrow
4. The data will not be reliable if the interviewer is not well- trained, qualified and intelligent
DR. MANISHA SETH
33. 2. INDIRECT ORAL INTERVIEWS
In this method, the informations are collected by the interviewer from third person who are
directly or indirectly concerned with the informations to be collected.
For example, in the study of the drinking (or smoking) habits of the society, one who drinks
(or smokes) is unable to give information of his bad habits. In this case, it is necessary to get
informations from those who may know him.
In this method, the persons are selected on following basis:
• they should explain the full facts of the problem
• they should be capable of giving correct answers
• they shouldn't be personal biased.
DR. MANISHA SETH
34. 2. INDIRECT ORAL INTERVIEWS
Merits
1. It saves money, time and labour
2. A wide area can be taken as the field of investigation
3. The opinion and suggestion of experts can be solicited
Demerits
1. Exact informations may not be obtained due to the doubtful information given by witnesses.
2. The investigator can twist the facts, if he is a biased person.
DR. MANISHA SETH
35. 3. MAILED QUESTIONNAIRE
In this method, a list of questions (i.e. questionnaire) relating to the investigation, is prepared and
sent by post to the various informants. The informants are requested to fill up the questionnaire
and is sent back to the enquiry office with the time mentioned. This method is suitable for the
regions where people are educated and cooperative.
Merits
1. Real informations are obtained as the questionnaires are filled by informant.
2. Informations are obtained quickly and cheaply
3. If the informants are spread over a wide geographical area and the informations are to be
collected from wide area, then this method is suitable.
Demerits
1. This method is suitable only for those regions where people are educated and cooperative.
2. Most of the questionnaires are not returned back by the informants due to their non-
responsibilities.
3. The results may not be accurate due to the misunderstanding of the given set of questions
DR. MANISHA SETH
36. 4. QUESTIONNAIRE SENT THROUGH ENUMERATORS
In this method, local agents (called enumerators) are appointed and trained properly. Then the questionnaires
are sent to the informants through the enumerators but not by post. The enumerators visit door to door along
with their questionnaires and the informations given by the informants are noted.
The data collected by the enumerators are sent back to the investigator (or the office concerned) for further
processing of data. This method is usually suitable research organizations.
Merits
1. This method is suitable even for uneducated informants
2. The chances of responsibility is high due to the personal contact between enumerator and informant.
3. Enumerators can ask some additional questions relating to the investigation
Demerits
1. It is very labourous, expensive and time consuming method.
2. This method is not free from the biasness of the enumerators.
3. If the enumerators are not well - trained, the data collected may not be correct.
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37. STATISTICAL METHODS
Helps in raw data Processing
It is a Process
It is a tool of Analysis
Helps in analyzing the processed data
It remains idle for the want of Statistical Data
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39. INTRODUCTION
Data if presented in easy to read form , it can help the reader acquire knowledge in a much shorter
period of time and facilitate statistical analysis
Presentation can take two basic forms
a) statistical table
b) statistical chart
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40. I CLASSIFICATION OF DATA
Classification is the grouping of related facts into different classes
Broadly the data can be classified on the following four basis
1. Geographical i.e area wise for example cities , districts etc
2. Chronological i.e on the basis of time
3. Qualitative i.e according to some attributes
4. Quantitative i.e in terms of magnitudes
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41. II. TABULATION OF DATA
A table is a systematic arrangement of statistical data in columns and rows.
The purpose of a table is to simplify the presentation and to facilitate comparisons
The simplification results from the clearcut and systematic arrangement which enables the reader
to quickly locate desired information .
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44. OBJECTIVES OF AVERAGING
To get one single value that describes the characteristics of the entire data
To facilitate comparison
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45. CHARACTERISTIC OF A GOOD AVERAGE
it should be easy to understand
it should be simple to compute
it should be based on all the observations
it should be rigidly defined
it should be capable of further algebraic treatment
it should have sampling stability
it should not be unduly affected by the presence of extreme values
DR. MANISHA SETH