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CBSE Important Questions for Class 11 Economics - 2025-26

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Class 11 Economics Extra Questions and Answers 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 Important Questions for Class 11 Economics - 2025-26

1. What are some expected 5-mark important questions from Statistics for Economics as per the CBSE 2025-26 syllabus?

For the Class 11 Economics exam, high-weightage (5-mark) questions often require in-depth explanation and application. Key expected questions include:

  • Discuss the importance and limitations of statistics in economic analysis and policy formulation.
  • Explain the various methods of collecting primary data, highlighting the merits and demerits of each.
  • What are index numbers? Discuss their types, challenges in construction, and significance in measuring economic changes like inflation.
  • Define correlation and explain its different types with suitable diagrams and examples.

2. Why is understanding the difference between classification and tabulation considered important for the Class 11 Economics exam?

Understanding this difference is crucial as it forms the foundation of data organisation. Classification is the process of grouping raw data into categories based on common characteristics, which simplifies complexity. Tabulation, on the other hand, is the systematic arrangement of this classified data into rows and columns. This distinction is important because incorrect classification can lead to misleading tabulation, resulting in flawed economic analysis and loss of marks in exams.

3. What are the merits and demerits of using the arithmetic mean as a measure of central tendency?

The arithmetic mean is a widely used statistical tool, but it's important to know its strengths and weaknesses for exam questions.

  • Merits: It is simple to calculate and understand, it is based on all the observations in the dataset, and it is capable of further algebraic treatment.
  • Demerits: It can be significantly skewed by extreme values (outliers), it cannot be calculated for open-ended class intervals, and it cannot be determined graphically.

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

To excel in HOTS questions, students should move beyond rote learning. As per CBSE trends, the focus should be on:

  • Understanding 'Why': Instead of just learning a formula, understand why it is used and what its limitations are.
  • Application-Based Practice: Solve case studies and problems that require you to apply statistical tools to a given economic scenario.
  • Data Interpretation: Practise interpreting graphs, tables, and charts to draw meaningful conclusions.
  • Relating to Real World: Connect statistical concepts to current economic events, such as using index numbers to understand inflation reports.

5. What is the typical marking weightage for questions in the Statistics for Economics paper for the CBSE 2025-26 exams?

According to the latest CBSE pattern, the important questions in the Statistics for Economics paper are generally distributed across different formats to test various skills:

  • 1-mark questions: Very short answers, typically for definitions or objective-type queries.
  • 3-mark questions: Short answers that require brief explanations, differences, or a few points with examples.
  • 5-mark questions: Long answers that demand detailed, analytical, or application-based responses, often with calculations or diagrams.

6. Why does CBSE emphasise the real-world application of statistics in the Class 11 Economics syllabus?

CBSE focuses on application to ensure students develop practical analytical skills, not just theoretical knowledge. The goal is to train students to use statistical tools like mean, median, correlation, and index numbers to interpret economic data, identify trends, and understand how policies are formulated. This approach prepares students for higher studies and real-world economic analysis where data-driven decision-making is paramount.

7. A researcher wants to analyse the impact of a new subsidy on farmers in a large state. Compare the census and sampling methods for this study and recommend the more suitable one.

This is a classic application-based problem. Here's a comparison:

  • Census Method: This would involve collecting data from every single farmer in the state who received the subsidy. It provides highly accurate and comprehensive data but would be extremely expensive, time-consuming, and logistically difficult to execute.
  • Sampling Method: This involves selecting a representative group (a sample) of farmers from different regions of the state. It is far more cost-effective, faster, and manageable.

Recommendation: The sampling method is far more suitable. While it carries a risk of sampling error, a well-designed random sample can provide sufficiently reliable results to analyse the subsidy's impact effectively and efficiently.

8. What are some common conceptual traps students should avoid in the Statistics for Economics exam?

To secure full marks, students should be careful to avoid these common errors:

  • Confusing primary data (collected firsthand) with secondary data (collected by others).
  • Mistaking classification (grouping) for tabulation (arranging in tables).
  • Making calculation errors in finding the median, especially when the number of observations is even.
  • Interpreting zero correlation as the absence of any relationship, when it only means the absence of a linear relationship.

9. What is the ideal structure for a 3-mark important question in the Statistics for Economics exam?

To write a perfect answer for a 3-mark question, follow this structure:

  • Introduction: Start with a clear and concise definition of the main concept.
  • Core Points: Provide three distinct, relevant points or differences. Use bullet points for clarity.
  • Example: Where applicable, add a brief, relevant example to support one of the points to show practical understanding.

Ensure the answer is to the point and adheres to the CBSE word limit guidelines to avoid losing marks.

10. How are important questions for Class 11 Statistics for Economics selected for the 2025-26 board exams?

Important questions are strategically shortlisted based on several factors aligned with board exam trends. The selection process considers:

  • Syllabus Weightage: Topics with higher marks allocation in the CBSE 2025-26 syllabus are given priority.
  • Past Paper Frequency: Questions that have appeared frequently in previous years' exams are often included.
  • Conceptual Importance: Core concepts that are fundamental to understanding economics, such as data collection, central tendency, and correlation, are always prioritized.
  • Question Type: A mix of questions testing memory (definitions), understanding (differences), and application (HOTS) is chosen to ensure comprehensive preparation.