Meta Description

Collection, Organisation and Presentation of Data Class 11 Economics notes, summary, important questions, keywords and MCQs for exam preparation.

Introduction of the Chapter

The chapter Collection, Organisation and Presentation of Data is an important part of Class 11 Economics (Statistics for Economics). Statistics is a discipline that deals with collecting, organizing, analyzing and interpreting data to make meaningful conclusions.

In real life, governments, businesses, researchers and economists collect large amounts of data to understand economic problems. However, raw data alone cannot provide useful information. It must first be collected systematically, organized properly and presented clearly so that meaningful analysis can be made.

The chapter Collection, Organisation and Presentation of Data explains the methods used to gather information, arrange it in a logical manner and present it using tables, charts and diagrams. These methods make data easy to understand and help in decision-making.

Students studying Collection, Organisation and Presentation of Data Class 11 Economics learn about different types of data, sources of data, methods of collecting data, classification, tabulation and graphical presentation. These concepts are essential not only for exams but also for higher studies in economics, statistics, business and research.

Short Notes – Collection, Organisation and Presentation of Data

• Statistics begins with data collection.

• Data refers to facts and figures collected for analysis.

• Data can be classified as primary data and secondary data.

• Primary data is collected directly by the investigator for the first time.

• Secondary data is already collected and published by others.

• Methods of collecting primary data include personal interview, telephone interview, questionnaires and schedules.

• After collection, data must be organized and classified into meaningful categories.

• Organization of data includes classification and tabulation.

• Tabulation means arranging data in rows and columns.

• Data can be presented through diagrams, charts and graphs.

• Proper presentation of data helps in easy understanding and comparison.

• Statistical presentation improves clarity, accuracy and interpretation of information.

Detailed Summary – Collection, Organisation and Presentation of Data

Meaning of Data

In statistics, data refers to facts and figures collected for analysis. These facts may relate to population, income, employment, prices, production, education or any other economic activity.

In the study of Collection, Organisation and Presentation of Data, the first step is to gather relevant information. However, raw data alone is not useful. It must be arranged and presented systematically to make it meaningful.

For example, if we collect information about the income of 100 families, the raw numbers will not be very helpful unless they are organized into categories or tables.

Thus, Collection, Organisation and Presentation of Data Class 11 Economics focuses on transforming raw information into a structured format.

Sources of Data

Data can be obtained from two major sources.

Primary Data

Primary data is data that is collected for the first time by the investigator for a specific purpose.

It is original in nature and collected directly from the source.

Examples include:

• Survey conducted by a researcher
• Data collected through interviews
• Field observations
• Questionnaires filled by respondents

Primary data is generally more reliable and accurate because it is collected specifically for the research objective.

However, it can be time-consuming and expensive.

Secondary Data

Secondary data refers to data that has already been collected by someone else for another purpose but is used by the researcher.

Examples include:

• Government reports
• Census data
• Research publications
• Books and journals
• Websites and databases

Secondary data is easily available and less expensive, but sometimes it may not perfectly match the researcher’s requirements.

In Collection, Organisation and Presentation of Data, both primary and secondary data play an important role in statistical analysis.

Methods of Collecting Primary Data

There are several methods used to collect primary data.

Personal Interview

In this method, the investigator meets respondents personally and asks questions directly.

Advantages:

• High accuracy
• Immediate clarification possible
• Detailed information collected

Disadvantages:

• Time consuming
• Expensive

Indirect Oral Investigation

In this method, the investigator collects information from third parties or witnesses rather than the actual respondents.

This method is useful when direct information is difficult to obtain.

Information Through Correspondents

In this method, local agents or correspondents collect data regularly and send it to the central office.

Newspapers and government departments often use this method.

Mailed Questionnaire

A questionnaire containing a list of questions is sent by mail or online to respondents.

Respondents fill in the answers and return the questionnaire.

Advantages:

• Low cost
• Wide coverage

Disadvantages:

• Low response rate
• Misinterpretation of questions

Schedule Method

In the schedule method, trained enumerators visit respondents and fill the questionnaire themselves based on responses.

This method was used in Population Census surveys.

Organisation of Data

Once data is collected, the next step in Collection, Organisation and Presentation of Data is to organize it.

Organisation of data means arranging raw data into logical groups or categories.

This process includes:

• Classification
• Tabulation

Organizing data helps in simplifying complex information and preparing it for analysis.

Classification of Data

Classification refers to grouping data into homogeneous categories based on common characteristics.

Types of classification include:

Chronological Classification

Data is arranged according to time order.

Example:

Production of wheat in India from 2018–2023.

Geographical Classification

Data is classified according to place or location.

Example:

Population of different states in India.

Qualitative Classification

Data is classified according to qualities or attributes.

Example:

Gender (Male/Female)
Literacy (Literate/Illiterate)

Quantitative Classification

Data is classified based on numerical values.

Example:

Income groups
Age groups

This type of classification is widely used in economics.

Tabulation of Data

Tabulation means presenting data in the form of tables with rows and columns.

A statistical table contains the following parts:

• Table number
• Title
• Headnote
• Column headings
• Row headings
• Body of the table
• Source note

Tabulation helps in easy comparison and analysis of data.

Presentation of Data

The final step in Collection, Organisation and Presentation of Data Class 11 Economics is presenting the data in an understandable form.

Data can be presented in three main ways.

Textual Presentation

Information is explained using words and paragraphs.

Example:
“The literacy rate in India increased from 65% to 74% over a decade.”

Tabular Presentation

Data is arranged in tables.

Example:

Year | Literacy Rate
2011 | 65%
2021 | 74%

Tables provide a clear and systematic view of data.

Diagrammatic Presentation

Data can also be presented using diagrams such as:

• Bar diagrams
• Pie charts
• Histograms
• Line graphs

Diagrammatic presentation helps in visual understanding and quick comparison.

For example, a bar diagram can easily show differences in income among different groups.

Thus, the methods explained in Collection, Organisation and Presentation of Data help convert complex data into meaningful information.

Flowchart / Mind Map (Text-Based)

Collection, Organisation and Presentation of Data

↓

Data

↓

Sources of Data
→ Primary Data
→ Secondary Data

↓

Methods of Data Collection
→ Personal Interview
→ Indirect Investigation
→ Questionnaire
→ Schedule Method

↓

Organisation of Data
→ Classification
→ Tabulation

↓

Presentation of Data
→ Textual
→ Tabular
→ Diagrammatic

↓

Statistical Analysis and Interpretation

Important Keywords with Meanings

Data
Facts and figures collected for analysis.

Primary Data
Data collected first-hand by the investigator.

Secondary Data
Data already collected by someone else.

Questionnaire
A list of questions used to collect information from respondents.

Schedule
A questionnaire filled by an enumerator during interviews.

Classification
Grouping data into categories based on similarities.

Tabulation
Arranging data in rows and columns.

Diagrammatic Presentation
Displaying data using diagrams or graphs.

Statistical Investigation
A systematic process of collecting and analyzing data.

Important Questions and Answers

Short Answer Questions

1. What is data in statistics?

Data refers to facts and figures collected for analysis and interpretation.

2. What is primary data?

Primary data is data collected directly by the investigator for the first time for a specific purpose.

3. What is secondary data?

Secondary data is data already collected by someone else but used by a researcher.

4. What is classification of data?

Classification is the process of grouping data into categories based on common characteristics.

5. What is tabulation?

Tabulation is the systematic presentation of data in rows and columns.

Long Answer Questions

1. Explain the methods of collecting primary data.

Primary data can be collected through several methods:

Personal Interview
The investigator directly meets respondents and asks questions.

Indirect Oral Investigation
Information is obtained from third parties.

Questionnaire Method
A list of questions is sent to respondents.

Schedule Method
Enumerators visit respondents and record answers.

These methods help collect accurate and reliable information for statistical analysis.

2. Explain the importance of presentation of data.

Presentation of data is important because:

• It simplifies complex information
• It makes data easy to understand
• It helps in comparison
• It improves clarity and interpretation
• It helps in decision-making

Proper presentation is essential in Collection, Organisation and Presentation of Data for effective statistical analysis.

20 MCQs – Collection, Organisation and Presentation of Data

Data means
A. Information
B. Facts and figures
C. Numbers only
D. Graphs

Answer: B

Primary data is collected by
A. Government
B. Researcher
C. Books
D. Newspapers

Answer: B

Secondary data is obtained from
A. Surveys
B. Books and reports
C. Interviews
D. Observation

Answer: B

Questionnaire method is used to
A. Analyze data
B. Collect data
C. Classify data
D. Present data

Answer: B

Tabulation means
A. Graph drawing
B. Arranging data in tables
C. Collecting data
D. Interviewing

Answer: B

Classification helps in
A. Data collection
B. Data organization
C. Data printing
D. Data copying

Answer: B

Primary data is
A. Original
B. Secondary
C. Published
D. Old

Answer: A

Census survey collects data from
A. Sample
B. Entire population
C. Few people
D. Experts

Answer: B

A bar diagram is used for
A. Data collection
B. Data presentation
C. Data classification
D. Data calculation

Answer: B

Data arranged according to time is
A. Chronological classification
B. Geographical classification
C. Qualitative classification
D. Quantitative classification

Answer: A

Classification based on gender is
Answer: Qualitative classification
A table consists of rows and columns
Answer: True
Schedule method uses enumerators
Answer: True
Secondary data is cheaper
Answer: True
Data presentation helps understanding
Answer: True
Data collected first time is primary data
Answer: True
Census of India is an example of primary data
Answer: True
Tables help comparison
Answer: True
Graphs make data visual
Answer: True
Statistics begins with data collection
Answer: True

Exam Tips / Value-Based Questions

Exam Tips

• Always define primary and secondary data clearly in exams.
• Draw neat tables and diagrams when required.
• Use headings and bullet points for long answers.
• Write examples related to economics to score better.
• Remember steps: Collection → Organisation → Presentation.

Value-Based Question

Why should data be collected carefully in economic surveys?

Answer:
Data should be collected carefully because incorrect data leads to wrong conclusions and poor decision-making. Accurate data helps governments and organizations design better policies for economic development.

Conclusion

The chapter Collection, Organisation and Presentation of Data Class 11 Economics introduces the fundamental steps of statistical investigation. It explains how data is collected from primary and secondary sources, organized through classification and tabulation, and presented using tables and diagrams.

Understanding Collection, Organisation and Presentation of Data helps students develop analytical skills and interpret economic information effectively. These concepts are widely used in research, economics, business and government planning.

Mastering this chapter not only helps students perform well in exams but also builds a strong foundation for advanced studies in statistics and economics.

Class 11 Economics (Statistics for Economics)

80 Marks Question Paper

Chapter: Collection, Organisation and Presentation of Data

Time: 3 Hours
Maximum Marks: 80

Section A – Very Short Answer Questions

(1 × 10 = 10 Marks)
Answer all questions.

Define data in statistics.
What is meant by primary data?
What is secondary data?
Define classification of data.
What is meant by tabulation?
Name any two sources of secondary data.
What is a questionnaire?
Define schedule method of collecting data.
What is chronological classification?
What is meant by diagrammatic presentation of data?

Section B – Short Answer Questions

(3 × 6 = 18 Marks)
Answer any six questions.

Distinguish between primary data and secondary data.
Explain any three methods of collecting primary data.
What are the advantages of tabulation?
Explain the features of a good questionnaire.
What is meant by organisation of data?
Explain the importance of classification of data.
Write a short note on secondary data sources.
What is diagrammatic presentation of data? Explain its advantages.

Section C – Case / Application Based Questions

(4 × 3 = 12 Marks)

Case Study 1

A researcher wants to study the income level of families in a village. He personally visits each household and asks questions related to monthly income and expenditure.

Questions

Identify the method of data collection used by the researcher.
Is the data collected primary or secondary? Give reason.
State one advantage and one limitation of this method.

Case Study 2

The government publishes data on population, literacy and employment in a report every year. A student uses this data for a project.

Questions

What type of data is being used by the student?
Name two sources of such data.
Mention one advantage of secondary data.

Section D – Long Answer Questions

(6 × 5 = 30 Marks)
Answer any five questions.

Explain the various methods of collecting primary data.
What is secondary data? Explain its sources.
Explain the importance of classification of data in statistics.
Describe the different types of classification of data.
What is tabulation of data? Explain the parts of a statistical table.
Explain the various methods of presentation of data.
Distinguish between census method and sample method of data collection.
Explain the advantages of diagrammatic presentation of data.

Section E – Essay Type Questions

(10 × 1 = 10 Marks)
Answer any one question.

Explain in detail the process of Collection, Organisation and Presentation of Data in statistics.

Discuss the importance of proper data collection and presentation in economic analysis.

Internal Choice / Practical Question

(Optional Practice – 10 Marks)

The following data shows the number of students in different classes:

Class	Number of Students
6	40
7	45
8	50
9	55
10	60

a) Present the data in tabular form.
b) Suggest a suitable diagram to represent the data.
c) State two advantages of diagrammatic presentation.

If you want, I can also create:
• Solved 80 Marks Question Paper (with detailed answers)
• 50 MCQs for this chapter
• 3000+ word Passage-Based Worksheet
• Case Study Questions for CBSE Exams
• Featured Image for your WordPress blog.

Class 11 Economics (Statistics for Economics)

Solved 80 Marks Question Paper

Chapter: Collection, Organisation and Presentation of Data

Time: 3 Hours
Maximum Marks: 80

Section A – Very Short Answer Questions

(1 × 10 = 10 Marks)

1. Define data in statistics.

Answer:
Data refers to facts and figures collected for analysis and interpretation. These facts may relate to population, income, prices, employment or other economic activities.

2. What is meant by primary data?

Answer:
Primary data is the data collected first-hand by the investigator for a specific purpose. It is original in nature and collected directly from the source.

Example: A survey conducted by a researcher.

3. What is secondary data?

Answer:
Secondary data refers to data already collected by someone else for another purpose but used by a researcher.

Example: Census reports, government publications, journals and websites.

4. Define classification of data.

Answer:
Classification of data means arranging data into groups or categories based on similar characteristics to make analysis easier.

5. What is tabulation?

Answer:
Tabulation is the systematic presentation of data in rows and columns in the form of a table.

6. Name any two sources of secondary data.

Answer:

Government publications
Research journals or books

7. What is a questionnaire?

Answer:
A questionnaire is a list of questions prepared to collect information from respondents.

8. Define schedule method of collecting data.

Answer:
In the schedule method, trained enumerators visit respondents and fill the questionnaire based on their answers.

9. What is chronological classification?

Answer:
Chronological classification is the arrangement of data according to time order, such as years, months or days.

10. What is diagrammatic presentation of data?

Answer:
Diagrammatic presentation means representing data through diagrams such as bar charts, pie charts and graphs.

Section B – Short Answer Questions

(3 × 6 = 18 Marks)

11. Distinguish between primary data and secondary data.

Basis	Primary Data	Secondary Data
Meaning	Data collected for the first time	Data already collected by others
Nature	Original data	Processed data
Cost	Expensive	Less expensive
Time	Time-consuming	Easily available

12. Explain any three methods of collecting primary data.

1. Personal Interview
The investigator personally meets respondents and collects information directly.

2. Questionnaire Method
A list of questions is sent to respondents to fill and return.

3. Schedule Method
Enumerators visit respondents and record their answers.

13. What are the advantages of tabulation?

Advantages of tabulation include:

• It organizes data systematically.
• It makes comparison easier.
• It simplifies large amounts of data.
• It helps in statistical analysis.

14. Explain the features of a good questionnaire.

A good questionnaire should have the following features:

• Questions should be clear and simple.
• Questions should be relevant to the study.
• Questions should be arranged logically.
• It should not be too long.

15. What is meant by organisation of data?

Organisation of data refers to arranging collected data in a logical and systematic form so that it can be analyzed easily.

It includes classification and tabulation of data.

16. Explain the importance of classification of data.

Classification is important because:

• It simplifies complex data.
• It makes data easy to understand.
• It helps in comparison.
• It prepares data for statistical analysis.

17. Write a short note on secondary data sources.

Secondary data can be obtained from:

• Government publications
• Census reports
• Books and journals
• Research papers
• Websites and databases

These sources provide already collected data which can be used for research.

18. What is diagrammatic presentation of data? Explain its advantages.

Diagrammatic presentation means presenting data using graphs and diagrams.

Advantages:

• Easy to understand
• Attractive presentation
• Quick comparison
• Suitable for large data sets

Section C – Case / Application Based Questions

(4 × 3 = 12 Marks)

Case Study 1

A researcher wants to study the income level of families in a village. He personally visits each household and asks questions related to monthly income and expenditure.

19. Identify the method of data collection used by the researcher.

Answer:
The method used is Personal Interview Method.

20. Is the data collected primary or secondary? Give reason.

Answer:
The data is primary data because it is collected directly by the researcher from respondents for the first time.

21. State one advantage and one limitation of this method.

Advantage:
Accurate and reliable information can be collected.

Limitation:
The method is time-consuming and expensive.

Case Study 2

The government publishes data on population, literacy and employment in a report every year. A student uses this data for a project.

22. What type of data is being used by the student?

Answer:
The student is using secondary data.

23. Name two sources of such data.

Answer:

Government reports
Census publications

24. Mention one advantage of secondary data.

Answer:
Secondary data is easily available and less expensive.

Section D – Long Answer Questions

(6 × 5 = 30 Marks)

25. Explain the various methods of collecting primary data.

Primary data can be collected through the following methods:

Personal Interview
The investigator directly meets respondents and asks questions.

Indirect Oral Investigation
Information is collected from third parties or witnesses.

Questionnaire Method
A list of questions is sent to respondents for answers.

Schedule Method
Enumerators visit respondents and record answers themselves.

These methods help collect reliable and relevant information.

26. What is secondary data? Explain its sources.

Secondary data refers to data already collected by someone else for a different purpose.

Sources of secondary data include:

• Government publications
• Census reports
• Books and journals
• Research papers
• Websites and online databases

Secondary data is useful because it is easily accessible and saves time and cost.

27. Explain the importance of classification of data in statistics.

Classification of data is important because:

• It simplifies large and complex data.
• It groups similar items together.
• It makes data easy to analyze.
• It helps in comparison.
• It improves understanding of statistical information.

28. Describe the different types of classification of data.

1. Chronological Classification
Data is arranged according to time order.

Example: Production data from 2018–2023.

2. Geographical Classification
Data is arranged according to place or region.

Example: Population of different states.

3. Qualitative Classification
Data is grouped according to qualities.

Example: Gender, literacy.

4. Quantitative Classification
Data is grouped according to numerical values.

Example: Income groups.

29. What is tabulation of data? Explain the parts of a statistical table.

Tabulation means presenting data in rows and columns.

Parts of a statistical table include:

• Table number
• Title
• Headnote
• Column headings
• Row headings
• Body of the table
• Source note

Tabulation helps organize data clearly.

30. Explain the various methods of presentation of data.

Data can be presented in three ways:

Textual Presentation
Data is described in words.

Tabular Presentation
Data is arranged in tables.

Diagrammatic Presentation
Data is represented using diagrams such as bar charts, pie charts and graphs.

These methods make data easier to understand and interpret.

Section E – Essay Type Question

(10 × 1 = 10 Marks)

33. Explain in detail the process of Collection, Organisation and Presentation of Data in statistics.

Answer:

The process of statistical investigation involves three major steps:

1. Collection of Data

Data collection is the first step in statistics. Data may be collected from primary or secondary sources.

Primary data is collected directly by the investigator through interviews, questionnaires or schedules.

Secondary data is obtained from books, journals, government reports and census data.

2. Organisation of Data

After collection, data must be organized properly. This includes classification and tabulation.

Classification groups data based on similarities such as time, place or characteristics.

Tabulation arranges data into rows and columns for easy understanding.

3. Presentation of Data

Finally, data is presented in an understandable form.

Methods include:

• Textual presentation
• Tabular presentation
• Diagrammatic presentation

These methods make statistical information easy to interpret and analyze.

Thus, collection, organisation and presentation of data are essential steps in statistical analysis.

Optional Practical Question

35. Table Representation

Class	Number of Students
6	40
7	45
8	50
9	55
10	60

a) Tabular Form: Already presented above.

b) Suitable Diagram:
A bar diagram is suitable for representing this data.

c) Advantages of Diagrammatic Presentation

• Easy to understand
• Attractive presentation
• Quick comparison of values

If you want, I can also generate for this chapter:

• 50 MCQs with explanations
• 3000+ Word Passage-Based Worksheet
• Case Study Questions (CBSE Pattern)
• Numerical Questions for Statistics for Economics
• Featured Image for your blog post.

Collection, Organisation and Presentation of Data – Class 11 Economics

50 MCQs with Answers (Statistics for Economics)

These MCQs from Collection, Organisation and Presentation of Data Class 11 Economics are designed according to the CBSE exam pattern. They help students revise important concepts like primary data, secondary data, classification, tabulation, and presentation of data.

50 MCQs – Collection, Organisation and Presentation of Data

1. In statistics, data refers to

A. Graphs
B. Facts and figures
C. Tables
D. Diagrams

Answer: B

2. Data collected for the first time by the investigator is called

A. Secondary data
B. Primary data
C. Classified data
D. Organized data

Answer: B

3. Data already collected by someone else is known as

A. Raw data
B. Classified data
C. Secondary data
D. Tabulated data

Answer: C

4. The first step in statistical investigation is

A. Analysis
B. Classification
C. Collection of data
D. Presentation

Answer: C

5. Which of the following is a source of secondary data?

A. Personal interview
B. Observation
C. Government reports
D. Questionnaire

Answer: C

6. A list of questions used to collect information is called

A. Schedule
B. Questionnaire
C. Table
D. Graph

Answer: B

7. In which method does the investigator personally meet respondents?

A. Questionnaire method
B. Personal interview
C. Schedule method
D. Correspondent method

Answer: B

8. In the schedule method, data is filled by

A. Respondent
B. Investigator
C. Enumerator
D. Government

Answer: C

9. Data arranged according to time order is called

A. Qualitative classification
B. Chronological classification
C. Geographical classification
D. Quantitative classification

Answer: B

10. Classification based on location is called

A. Geographical classification
B. Quantitative classification
C. Chronological classification
D. Qualitative classification

Answer: A

11. Classification based on qualities like gender is called

A. Qualitative classification
B. Quantitative classification
C. Chronological classification
D. Geographical classification

Answer: A

12. Classification based on numbers or quantities is called

A. Qualitative classification
B. Quantitative classification
C. Time classification
D. Location classification

Answer: B

13. Tabulation means

A. Data collection
B. Arranging data in tables
C. Drawing graphs
D. Writing reports

Answer: B

14. Rows in a table are called

A. Columns
B. Headnotes
C. Stubs
D. Cells

Answer: C

15. Columns in a table represent

A. Headings
B. Row titles
C. Numerical data
D. Categories

Answer: A

16. Presentation of data using words is called

A. Textual presentation
B. Tabular presentation
C. Diagrammatic presentation
D. Statistical presentation

Answer: A

17. Presentation of data using tables is called

A. Textual presentation
B. Tabular presentation
C. Graphical presentation
D. Diagrammatic presentation

Answer: B

18. Bar diagram is an example of

A. Data collection
B. Data classification
C. Diagrammatic presentation
D. Data analysis

Answer: C

19. Pie chart is used to represent

A. Parts of a whole
B. Time series data
C. Frequency distribution
D. Population census

Answer: A

20. Which method is less expensive for data collection?

A. Personal interview
B. Schedule method
C. Questionnaire method
D. Observation

Answer: C

21. Secondary data is generally

A. Expensive
B. Time consuming
C. Easily available
D. Difficult to obtain

Answer: C

22. Census method collects data from

A. A few people
B. Entire population
C. Sample group
D. Experts only

Answer: B

23. Sample method collects data from

A. Entire population
B. Selected group
C. Government
D. Companies

Answer: B

24. Which organization publishes census data in India?

A. RBI
B. NSSO
C. Government of India
D. SEBI

Answer: C

25. Data collected without organization is called

A. Classified data
B. Raw data
C. Tabulated data
D. Structured data

Answer: B

26. Classification helps to

A. Collect data
B. Simplify data
C. Destroy data
D. Print data

Answer: B

27. Tabulation helps in

A. Data destruction
B. Easy comparison
C. Data collection
D. Data duplication

Answer: B

28. Diagrams help in

A. Difficult understanding
B. Visual presentation
C. Data deletion
D. Data editing

Answer: B

29. Questionnaire method is suitable for

A. Illiterate respondents
B. Literate respondents
C. Children only
D. Experts only

Answer: B

30. Indirect oral investigation collects data from

A. Direct respondents
B. Witnesses
C. Government
D. Teachers

Answer: B

31. Data presented in paragraphs is called textual presentation.

A. True
B. False

Answer: A

32. Tables consist of rows and columns.

A. True
B. False

Answer: A

33. Primary data is original in nature.

A. True
B. False

Answer: A

34. Secondary data is collected for the first time.

A. True
B. False

Answer: B

35. Classification is done after data collection.

A. True
B. False

Answer: A

36. Tabulation simplifies complex data.

A. True
B. False

Answer: A

37. Diagrammatic presentation improves understanding.

A. True
B. False

Answer: A

38. Government publications are sources of secondary data.

A. True
B. False

Answer: A

39. Questionnaire method is expensive.

A. True
B. False

Answer: B

40. Schedule method uses trained enumerators.

A. True
B. False

Answer: A

41. A table must have a title.

A. True
B. False

Answer: A

42. Tabulation is part of data organisation.

A. True
B. False

Answer: A

43. Graphs help in quick comparison.

A. True
B. False

Answer: A

44. Primary data is usually more reliable.

A. True
B. False

Answer: A

45. Census is an example of primary data collection.

A. True
B. False

Answer: A

46. Data presentation is the final step of statistical study.

A. True
B. False

Answer: A

47. Statistics deals with analysis of data.

A. True
B. False

Answer: A

48. Tables are used for systematic presentation of data.

A. True
B. False

Answer: A

49. Diagrams are attractive methods of presenting data.

A. True
B. False

Answer: A

50. Collection of data is the first stage of statistics.

A. True
B. False

Answer: A

If you want, I can also create high-traffic SEO content for your blog, such as:

• 3000+ Word Passage-Based Worksheet (CBSE Pattern)
• Case Study Questions with Answers
• Numerical Questions for Statistics for Economics
• Featured Image for WordPress Blog
• Internal Linking SEO Structure for your Economics website.

Collection, Organisation and Presentation of Data – Passage Based Worksheet

Class 11 Economics (Statistics for Economics) – CBSE Pattern

Introduction

The chapter Collection, Organisation and Presentation of Data in Class 11 Economics is the foundation of statistical study. In economics and other social sciences, large amounts of information are required to understand problems related to income, employment, production, population and education. However, raw data collected from different sources often appears complex and confusing. Therefore, it becomes essential to collect, organize and present data in a systematic manner so that meaningful conclusions can be drawn.

The process begins with data collection, where relevant information is gathered from primary or secondary sources. After collection, the data must be organized through classification and tabulation so that it becomes structured and easy to interpret. Finally, the data is presented using textual explanation, tables, diagrams and graphs to make it understandable for readers.

The chapter Collection, Organisation and Presentation of Data Class 11 Economics also explains different methods used by researchers to collect information, such as personal interviews, questionnaires and schedules. These methods help investigators obtain accurate and reliable information.

The following passage-based worksheet is designed according to the CBSE examination pattern. Each passage is followed by analytical and conceptual questions to help students understand the concepts in depth and improve their problem-solving skills.

Passage 1: Importance of Data in Statistics

Statistics is a science that deals with the collection, organisation, analysis and interpretation of numerical data. In economic planning and policy-making, data plays a crucial role. Governments collect data about population, employment, national income, education and health to understand the economic condition of the country.

However, simply collecting information is not enough. Raw data often contains a large number of observations that may appear disorganized. Without proper classification and presentation, it becomes difficult to understand patterns and trends.

For example, if a researcher collects the monthly income of 200 families in a city, the raw numbers alone may not provide useful insights. But when the data is classified into income groups such as ₹10,000–₹20,000, ₹20,000–₹30,000 and so on, it becomes easier to interpret the economic status of families.

Similarly, tabulation and diagrammatic presentation help in summarizing large data sets. Tables, bar diagrams and pie charts make data easier to understand and allow comparisons between different groups.

Thus, the study of Collection, Organisation and Presentation of Data is essential for transforming raw information into meaningful knowledge.

Questions

What is statistics according to the passage?
Why is data important for economic planning?
What problem arises when raw data is not organized?
How does classification help in understanding data?
Name two methods used for presenting data.

Passage 2: Primary and Secondary Data

Data used in statistical studies can be classified into primary data and secondary data. Primary data is the information collected directly by the investigator for the first time for a specific purpose. It is original in nature and generally more reliable because it is collected specifically for the study.

For example, a researcher who wants to study the employment status of youth in a town may conduct surveys or interviews with individuals to gather first-hand information.

Secondary data, on the other hand, refers to information that has already been collected and published by someone else. Researchers use this data for their studies when collecting primary data is not possible or when time and resources are limited.

Examples of secondary data include government publications, census reports, research papers, books and statistical reports. Secondary data is easily available and less expensive, but it may not always be perfectly suited to the researcher’s requirements.

Therefore, before using secondary data, it is important to verify its accuracy, reliability and relevance.

Questions

What is primary data?
Give one example of primary data.
What is secondary data?
Name two sources of secondary data mentioned in the passage.
Why should researchers verify secondary data before using it?

Passage 3: Methods of Collecting Primary Data

Researchers use different methods to collect primary data depending on the nature of their study. One of the most common methods is the personal interview method, where the investigator meets respondents directly and asks questions. This method provides accurate information and allows the researcher to clarify doubts immediately.

Another method is the questionnaire method, where a list of questions is prepared and sent to respondents by mail or online. Respondents read the questions and fill in their answers. This method is less expensive and can cover a large number of people, but it requires respondents to be literate and cooperative.

The schedule method involves trained enumerators who visit respondents and record their answers in a schedule or questionnaire. This method is widely used in large surveys such as the population census.

Each method has its advantages and limitations. Therefore, researchers must choose the most appropriate method based on the purpose of the investigation and available resources.

Questions

What is the personal interview method?
State one advantage of the personal interview method.
What is the questionnaire method?
Why is the questionnaire method less expensive?
What is the schedule method?

Passage 4: Organisation of Data

After collecting data, the next important step is organisation of data. Organisation means arranging raw data in a systematic and meaningful manner. This process includes classification and tabulation.

Classification refers to grouping data into categories based on common characteristics. For example, students in a school can be classified according to gender, age or marks obtained.

There are different types of classification used in statistics. Chronological classification arranges data according to time, such as years or months. Geographical classification arranges data according to location or region. Qualitative classification groups data based on qualities such as gender or literacy, while quantitative classification groups data based on numerical values such as income or age.

Classification helps reduce complexity and allows researchers to understand patterns in the data.

Questions

What is meant by organisation of data?
Name the two main processes involved in organisation of data.
What is classification of data?
What is chronological classification?
What is qualitative classification?

Passage 5: Tabulation of Data

Tabulation is the process of presenting classified data in the form of tables with rows and columns. A well-designed table helps readers understand data quickly and easily.

A statistical table generally contains several important parts. These include the table number, title, headnote, column headings, row headings, body of the table and source note.

The title of the table describes the information presented in it. Column headings indicate the categories of data, while row headings describe different groups.

Tabulation helps simplify large data sets and makes comparison easier. For example, if a table shows the number of students in different classes, it becomes easy to compare class sizes.

Thus, tabulation plays a significant role in the chapter Collection, Organisation and Presentation of Data because it organizes information clearly and systematically.

Questions

What is tabulation?
Name any three parts of a statistical table.
What is the purpose of the title in a table?
What do column headings represent?
Why is tabulation useful in statistics?

Passage 6: Presentation of Data

The final step in statistical investigation is presentation of data. Proper presentation helps readers understand the meaning of data easily.

There are three main methods of presenting data. Textual presentation involves describing data in words and sentences. Tabular presentation involves arranging data in tables. Diagrammatic presentation involves representing data using diagrams such as bar charts, pie charts and graphs.

Diagrammatic presentation is particularly useful because it provides a visual representation of data. For example, a bar diagram can clearly show the difference in sales of products in different years.

Good presentation not only improves understanding but also makes data attractive and easy to interpret.

Questions

What is the final step in statistical investigation?
What is textual presentation of data?
What is tabular presentation?
What is diagrammatic presentation?
Give one example of a diagram used to present data.

Passage 7: Importance of Data Presentation in Economics

In economics, data presentation plays a crucial role in understanding economic trends and patterns. Governments, businesses and researchers rely on statistical data to make informed decisions.

For example, data about unemployment helps governments design employment policies. Similarly, data about production and sales helps businesses plan their marketing strategies.

When data is presented using charts, graphs and tables, it becomes easier for policymakers and analysts to interpret information quickly. Proper presentation also helps in comparing different time periods, regions or categories.

Therefore, effective presentation of data is an essential part of economic analysis and decision-making.

Questions

Why is data presentation important in economics?
How does unemployment data help governments?
How does data help businesses?
Why are graphs and charts useful?
What is the main purpose of presenting data?

Passage 8: Accuracy and Reliability of Data

For statistical analysis to be meaningful, data must be accurate and reliable. Incorrect or incomplete data can lead to wrong conclusions and poor decision-making.

When collecting primary data, investigators must ensure that questions are clear and respondents provide truthful answers. In the case of secondary data, researchers must check whether the data source is trustworthy and whether the information is relevant to their study.

Reliability also depends on proper sampling methods and careful recording of information. Errors in data collection or organization can affect the entire research process.

Therefore, maintaining accuracy and reliability is essential in every stage of Collection, Organisation and Presentation of Data.

Questions

Why is accuracy important in data collection?
What problems can arise from incorrect data?
How can researchers ensure reliability of primary data?
What should researchers check before using secondary data?
What role does sampling play in data reliability?

Passage 9: Role of Statistics in Modern Society

In the modern world, statistics is widely used in many fields such as economics, business, education, healthcare and government administration. Statistical methods help researchers analyze complex problems and make evidence-based decisions.

For example, economists use statistical data to measure national income, inflation and unemployment. Businesses use statistics to analyze market trends and consumer behavior. Governments rely on statistical surveys to plan development programs.

The process of Collection, Organisation and Presentation of Data allows decision-makers to transform raw information into meaningful insights.

Thus, statistics has become an essential tool for understanding social and economic realities in today’s data-driven world.

Questions

In which fields is statistics widely used?
How do economists use statistics?
How do businesses use statistical data?
Why do governments conduct statistical surveys?
How does statistics help decision-making?

Passage 10: Steps in Statistical Investigation

A statistical investigation follows several systematic steps. The first step is collection of data, where relevant information is gathered from primary or secondary sources.

The second step is organisation of data, which involves classification and tabulation. This step helps convert raw data into structured information.

The third step is presentation of data, where information is displayed using textual descriptions, tables or diagrams.

After presentation, researchers may further analyze and interpret the data to draw conclusions. Each step is essential because errors in any stage can affect the accuracy of results.

Thus, the study of Collection, Organisation and Presentation of Data Class 11 Economics helps students understand how data is transformed into meaningful information.

Questions

What is the first step in statistical investigation?
What is the second step?
What is the third step?
Why is organisation of data important?
What happens after presentation of data?

Conclusion

The chapter Collection, Organisation and Presentation of Data Class 11 Economics provides the basic framework for statistical analysis. It explains how data is collected from primary and secondary sources, organized through classification and tabulation, and presented using tables, diagrams and graphs.

Understanding these concepts helps students develop analytical skills and interpret statistical information effectively. The passage-based questions in this worksheet are designed to improve conceptual clarity and prepare students for CBSE board examinations and competitive tests.

Mastering the process of Collection, Organisation and Presentation of Data is essential for students who wish to pursue higher studies in economics, statistics, business and social sciences.