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CBSE Class 11 Economics (Statistics for Economics) Important Questions

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Important Questions and Answers for CBSE Economics (Statistics for Economics) Class 11 - FREE PDF Download

The CBSE Class 11 Economics (Statistics for Economics) Important Questions provide students with a clear understanding of key topics from the CBSE Class 11 Economics syllabus. These questions are chosen carefully to cover essential concepts, making it easier for students to understand important ideas and practise effectively for their exams. Each question is aligned with the syllabus, ensuring students focus on relevant topics for their preparation.

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By going through CBSE Class 11 Economics Important Questions, students can strengthen their understanding of statistics and improve their problem-solving skills. Practising these questions regularly will help students prepare thoroughly and confidently for their exams, giving them a better chance to score well.


CBSE Class 11 Economics (Statistics for Economics) Chapter-wise Important Questions

CBSE Class 11 Economics (Statistics for Economics) Chapter-wise Important Questions and Answers cover topics from all 8 chapters, helping students prepare thoroughly by focusing on key topics for easier revision.


S.No.

Chapter-wise Important Questions for Class 11 Statistics for Economics

1.

Chapter 1: Introduction Important Questions

2.

Chapter 2: Collection of Data Important Questions

3.

Chapter 3: Organisation of Data Important Questions

4.

Chapter 4: Presentation of Data Important Questions

5.

Chapter 5: Measures of Central Tendency Important Questions

6.

Chapter 6: Correlation Important Questions

7.

Chapter 7: Index Numbers Important Questions

8.

Chapter 8: Use of Statistical Tools Important Questions

10 Most Important Questions from Class 11 Economics (Statistics for Economics) Chapters

1. What is the importance of statistics in economics?

Answer:Statistics play a crucial role in economics as it helps in collecting, organising, and analysing data. It enables economists to understand economic problems, formulate policies, and make predictions. Statistical tools help in clearly presenting data, making it easier to interpret trends, compare different data sets, and draw conclusions.


2. Explain the various methods of collecting primary data.

Answer: Primary data refers to data collected firsthand. The methods of collecting primary data include:


  • Direct Personal Investigation: The investigator collects data directly from the source.

  • Indirect Oral Investigation: Information is gathered from intermediaries rather than the subject directly.

  • Questionnaires and Schedules: A set of questions is given to respondents to fill in their responses.

  • Observation: The investigator collects data through observation without direct interaction.


3. What are the differences between classification and tabulation of data?

Answer: 

  • Classification: It refers to the process of grouping data into different categories based on common characteristics. It helps in simplifying complex data.

  • Tabulation: It refers to the systematic arrangement of classified data in rows and columns. Tabulation helps in organising large amounts of data for easy comparison and analysis.


4. Describe the different types of graphical representation of data.

Answer: The main types of graphical representation of data include:


  • Bar Graph: Used to show the frequency of different categories using bars.

  • Pie Chart: A circular chart divided into sectors, showing the proportion of each category.

  • Histogram: A graphical representation used for grouped data showing the distribution of numerical data.

  • Line Graph: A graph that shows data points connected by straight lines to depict trends over time.


5. What are the merits and demerits of the arithmetic mean as a measure of central tendency?
Answer:

Merits:

  • Simple and easy to calculate.

  • Takes into account all the values in the dataset.

  • Widely used for statistical analysis.


Demerits:

  • Affected by extreme values, which can distort the result.

  • Not suitable for qualitative data.

  • It may not represent the central value in a skewed distribution.


6. Explain the concept of correlation and its types.
Answer: Correlation refers to the statistical relationship between two variables. It measures how one variable changes in relation to the other. The types of correlation include:


  • Positive Correlation: When both variables move in the same direction (e.g., as income increases, expenditure increases).

  • Negative Correlation: When one variable increases and the other decreases (e.g., as price increases, demand decreases).

  • No Correlation: When there is no relationship between two variables.


7. What are index numbers? Discuss their uses in economic analysis.

Answer: Index numbers are statistical tools used to measure changes in the value of a variable over time. They are expressed as a percentage relative to a base period.
Uses:

  • To measure inflation by comparing the price levels of goods and services.

  • To track economic growth and trends over time.

  • To compare the cost of living in different regions.


8. How do you calculate the median and mode from ungrouped data?

Answer:

  • Median: Arrange the data in ascending or descending order. If the number of observations is odd, the middle value is the median. If even, the median is the average of the two middle values.

  • Mode: The mode is the value that appears most frequently in the dataset. For ungrouped data, count the frequency of each value and the one with the highest frequency is the mode.


9. Discuss the significance of statistical tools in economics.

Answer: Statistical tools are significant in economics as they help in:


  • Organising and simplifying data for better understanding.

  • Analysing trends and patterns in economic data.

  • Making informed decisions based on data analysis.

  • Forecasting future economic conditions and helping in policy formulation.


10. How does sampling differ from the census? What are the advantages of sampling?

Answer:

  • Census: In a census, data is collected from every individual in the population.

  • Sampling: In sampling, data is collected from a selected group of individuals, which represents the whole population. Advantages of Sampling:

  • Less time-consuming and cost-effective compared to a census.

  • Easier to handle and analyse data from a sample.

  • Useful when it is impossible or impractical to collect data from the entire population.


Here are 10 important questions from all chapters. For more detailed, chapter-wise questions, refer to the table above and download the PDF. This will help you gain a better understanding of each chapter and enhance your exam preparation.


How Do Economics (Statistics for Economics) Important Questions Class 11 Help You with Exams?

  • Economics Important Questions for Class 11 focus on the key topics from each chapter, helping students understand what to study for exams.

  • They guide students to practice the most frequently asked questions, making it easier to prepare efficiently.

  • These questions are aligned with the Class 11 Economics syllabus, ensuring students cover all the important topics needed for exams.

  • Practising these questions regularly helps students improve their understanding of concepts and build confidence.

  • They serve as a quick revision tool, helping students recall key points before the exam.

  • By solving these questions, students can assess their knowledge and identify areas that need more attention.

  • They help students become familiar with the exam pattern and the type of questions they might face in the exam.


Vedantu's CBSE Class 11 Economics (Statistics for Economics) Important Questions provide a simple and clear way to study the key topics in the subject. These questions help students focus on important concepts, practice regularly, and improve their understanding. By going through these important questions, students can prepare effectively for their exams and feel more confident while answering. For more detailed chapter-wise questions and support, students can refer to Vedantu's resources and make their revision easier.


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FAQs on CBSE Class 11 Economics (Statistics for Economics) Important Questions

1. What are the most important questions from Chapter 1 of Class 11 Economics Statistics for Economics as per CBSE 2025–26?

The following questions are most frequently asked in exams from Chapter 1:

  • Define statistics and explain its scope in economics.
  • State any two functions of statistical tools in economic studies.
  • Differentiate between primary and secondary data with examples.
  • Why is it essential to organize data systematically in economics?
  • Explain the role of statistics in the formulation of government policies.

2. How are important questions for Class 11 Economics (Statistics for Economics) selected as per board exam trends?

Important questions are shortlisted based on their frequency in previous CBSE board exams, coverage of crucial topics in the 2025–26 syllabus, conceptual weight, and their typical marking allocation (e.g., 1-mark, 3-mark, 5-mark). Questions targeting conceptual understanding, application, and analytical skills are prioritized to maximize exam readiness.

3. What types of questions on data collection methods are considered important for Class 11 Statistics for Economics?

Common high-weightage questions include:

  • List and explain primary data collection methods with examples.
  • Compare direct personal investigation with indirect oral investigation.
  • State one advantage and one limitation of using questionnaires.
These test the student's grasp of core data gathering techniques as per CBSE requirements.

4. Why is understanding the differences between classification and tabulation important for Class 11 Economics students?

Classification groups raw data based on shared features, helping simplify complex datasets, whereas tabulation systematically arranges the classified data into rows and columns for easy analysis. Understanding both is crucial, as misclassifying or mistabulating data can lead to exam errors and incorrect conclusions in real economic analyses.

5. What are the expected 5-mark questions from Chapter 1 (Introduction) in Statistics for Economics for 2025–26 board exams?

High-weightage (5-mark) questions often include:

  • Explain with suitable examples how statistical tools assist economists in decision-making.
  • Discuss merits and demerits of using statistics in economic analysis.
These questions require in-depth understanding and examples for full marks.

6. How can students avoid common errors when answering exam questions on statistical tools in economics?

Students should:

  • Read each question carefully to understand required concepts.
  • Include definitions, relevant examples, and key terms as per CBSE marking scheme.
  • Avoid mixing up related terms (e.g., classification vs. tabulation).
  • Show steps for calculations if required (for measures like mean or median).

7. What conceptual traps do students face in "Statistics for Economics" important questions?

Typical traps include:

  • Confusing primary with secondary data sources.
  • Making calculation mistakes in median/mode when data is ungrouped.
  • Not providing real-life examples when asked for application-based answers.
  • Overlooking the importance of drawing correct diagrams for graphical questions.

8. What is the marking weightage of "Statistics for Economics" important questions in the CBSE Class 11 exam?

The important questions usually cover all types of marking schemes:

  • 1-mark (very short answer)
  • 3-mark (short answer, usually requiring 2–3 points)
  • 5-mark (long answer, analytical or application-based)
These weights align with the official CBSE 2025–26 blueprint.

9. Why does CBSE emphasize understanding the application of statistics in economics in its Class 11 exams?

CBSE focuses on real-world application to test if students can use statistical tools to analyze economic data, solve practical problems, and interpret results for policy making or business. Application-based questions ensure students internalize concepts beyond rote memorization.

10. How should students prepare for HOTS (Higher Order Thinking Skills) questions in Statistics for Economics?

For HOTS questions:

  • Practice analyzing given economic scenarios using statistical methods.
  • Focus on 'why' and 'how'—not just 'what.'
  • Discuss limitations, assumptions, and possible errors in real data handling.
  • Relate statistical techniques to current economic news or trends when applicable.
This approach aligns with new CBSE question patterns emphasizing analytical skills over factual recall.

11. What are some frequently misunderstood concepts in Class 11 Statistics for Economics important questions?

Students often misunderstand:

  • The difference between census and sample surveys.
  • Steps involved in calculating median and mode in ungrouped data.
  • Interpretation of positive, negative, and zero correlation.
Being clear on these points is key for full marks.

12. What are some recent changes or trends in Class 11 Statistics for Economics important questions for the 2025–26 board exams?

Latest trends:

  • Increased focus on data reasoning and graphical interpretation.
  • More application- and case-based HOTS questions.
  • Greater emphasis on conceptual clarity in definitions and real-world examples.
  • Integration of statistical tools in contemporary economic scenarios.

13. How can understanding important questions help students score higher in Class 11 Economics exams?

By regularly practicing important questions:

  • Students become familiar with formats and likely board exam queries.
  • They strengthen core concepts and avoid surprises in the exam hall.
  • Focused revision ensures no key CBSE topic is missed, boosting confidence and accuracy.

14. What are some examples of HOTS (Higher Order Thinking Skill) questions for Statistics for Economics Chapter 1?

Examples of HOTS questions:

  • How would the analysis of data change if the sample chosen is biased?
  • In what ways can misuse of statistics harm economic policy decisions?
  • How can graphical misrepresentation affect data interpretation in economics?
These require analysis, evaluation, and critical thinking skills for full marks.

15. What should be the structure of a perfect answer for a 3-mark important question in Statistics for Economics?

A high-scoring 3-mark answer should:

  • Start with a clear, concise definition (where relevant).
  • Include 2–3 key points with examples or applications.
  • Be well-organized, using bullet points if permitted, and stick to the word limit suggested by CBSE guidelines.