CBSE Class 11 Economics Chapter 2: Collection of Data NCERT Solutions
CBSE Class 11 Economics Chapter 2, 'Collection of Data,' introduces students to the critical processes of gathering information for statistical analysis. The NCERT Solutions for this chapter offer clear explanations and practical examples, demystifying various data collection methods such as primary and secondary data. Students will learn about crafting effective survey questions, distinguishing between different survey types, and understanding the significance of sampling techniques. These resources are designed to clarify complex concepts, ensuring a solid grasp of data collection, a vital skill for economic research. Mastering these topics will equip students to confidently answer examination questions and build a robust foundation in statistical methods essential for economics.
Quick info
| Board | CBSE |
|---|---|
| Class | Class 11 |
| Subject | Economics |
| Session | 2026 |
| Language | English |
| Type | NCERT Solutions |
| Chapter | Chapter 2 |
Chapter summary
Chapter 2, 'Collection of Data,' focuses on the initial stages of statistical inquiry. The NCERT Solutions cover the types of data (primary and secondary), methods of data collection like surveys and interviews, and the design of questionnaires. It also touches upon sampling techniques and potential errors. These solutions aim to equip students with a clear understanding of how data is gathered, which is essential for any economic analysis.
Learning outcomes
- Understand the importance of data collection in economics.
- Differentiate between primary and secondary data sources.
- Learn to frame appropriate multiple-choice and two-way questions for surveys.
- Identify the suitability of different data collection methods.
- Recognize the concepts of sampling and potential errors in data collection.
Topics covered
Paper topics
- Collection of Data
- Primary Data
- Secondary Data
- Sources of Data
- Methods of Data Collection
- Surveys
- Questionnaires
- Types of Questions (MCQ, Yes/No)
- Sampling
- Data Errors
Important topics
- Primary vs. Secondary Data
- Formulating Survey Questions
- Suitability of Data Collection Methods
- Understanding Data Errors
PDF preview
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Questions and Solutions
Question 1
- Which of the following is the most important when you buy a new dress?
- How often do you use computers?
- Which of the newspaper do you read regularly?
- Rise in the price of petrol is justified.
- What is the monthly income of your family?
The task is to frame appropriate multiple-choice options for each given question. Here are suitable options:
-
Which of the following is the most important when you buy a new dress?
- Price
- Quality and Style
- Size
- Brand
-
How often do you use computers?
- Every day
- 5-6 times a week
- 3-4 times a week
- Less than 3 times a week
-
Which of the newspaper do you read regularly?
- The Hindu
- The Times of India
- The Economic Times
- Hindustan Times
-
Rise in the price of petrol is justified
- Because of an increase in the supply of petrol
- Because of the abundance of petrol
- Because of a hike in excise duty on petrol
- Because of the appreciation of the rupee
-
What is the monthly income of your family?
- Less than Rs 30,000
- Rs 30,000 to Rs 50,000
- Rs 50,000 to Rs 1,00,000
- More than Rs 1,00,000
Question 2
Two-way questions are those that can typically be answered with a simple 'Yes' or 'No'. Here are five examples:
- Do you own a car in your family?
- Do you find economics an interesting subject?
- Have you ever traveled outside of India?
- Have you ever visited the Taj Mahal?
- Do you contribute to the Swachh Bharat Abhiyan?
Question 3
- There are many sources of data.
- Telephone survey is the most suitable method of collecting data, when the population is literate and spread over a large area.
- Data collected by investigator is called the secondary data.
- There is certain bias involved in the non-random selection of samples.
- Non-sampling errors can be minimized by taking large samples.
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True
Reason: Data can be collected from various sources. These are broadly categorized into primary sources (like surveys, interviews) and secondary sources (like published reports, books, articles). Each category offers multiple methods for data acquisition.
-
False
Reason: While telephone surveys can be efficient for reaching a large area, they are not always the most suitable method, especially if the population is not literate or if detailed, sensitive information is required. Other methods like mailed questionnaires or personal interviews might be more appropriate depending on the context.
-
False
Reason: Data collected directly by an investigator for their specific purpose is called primary data. Data collected by someone else and used by the investigator is called secondary data.
-
True
Reason: Non-random sampling methods, where the selection of units is not based on probability, often introduce bias because certain units may have a higher or lower chance of being selected, potentially skewing the results.
-
False
Reason: Non-sampling errors arise from various factors like measurement errors, response errors, or processing errors. Increasing the sample size primarily helps in reducing sampling errors, not non-sampling errors. Minimizing non-sampling errors requires careful planning, training, and execution of the survey.
Common mistakes
- Confusing primary and secondary data.
- Formulating ambiguous or leading survey questions.
- Assuming telephone surveys are always the most suitable method.
- Misunderstanding the nature and minimization of sampling and non-sampling errors.
Revision tips
- Focus on understanding the definitions and examples of primary and secondary data.
- Practice framing different types of survey questions (MCQ, Yes/No).
- Review the advantages and disadvantages of various data collection methods.
- Pay attention to the reasons provided for True/False statements to grasp underlying concepts.
Practice MCQs
Q1. Which type of question is 'How often do you use computers?'
Explanation: This question offers a set of predefined options for the respondent to choose from, making it a multiple-choice question.
Q2. Which of the following is a source of primary data?
Explanation: Direct personal interviews involve collecting data firsthand from individuals, which is characteristic of primary data collection.
Q3. A survey question asking 'Do you have a car in your family?' is an example of:
Explanation: This question can only be answered with a 'Yes' or 'No', classifying it as a two-way question.
Q4. According to the provided solutions, which statement about telephone surveys is False?
Explanation: The solution states that telephone surveys are not always the most suitable method, especially if the population is not literate or spread over a very large area.
Q5. Data collected by an investigator for their own specific purpose is called:
Explanation: Data collected directly by the investigator for the first time is termed primary data.
Frequently asked questions
What is the main focus of Chapter 2, 'Collection of Data' in Class 11 Economics?
Chapter 2 focuses on the fundamental aspects of gathering information for economic analysis, including understanding different types of data, methods of collection, and the design of surveys and questionnaires.
What is the difference between primary and secondary data?
Primary data is collected by the investigator for the first time for a specific purpose, while secondary data is collected by someone else and is already available.
How do these NCERT Solutions help students?
These solutions provide clear, rewritten answers to all questions in Chapter 2, helping students understand concepts like data sources, survey methods, and question framing, which is crucial for exam preparation.
Are the questions in the source document preserved in these solutions?
Yes, all questions from the source document are kept exactly the same, including their numbering and content, while the solutions are rewritten for better clarity and understanding.
What types of questions are covered in Chapter 2?
Chapter 2 covers questions related to framing multiple-choice options, creating two-way (Yes/No) questions, and identifying the truthfulness of statements regarding data collection methods and concepts.
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