Class 11 Economics — Chapter 2: Collection of Data

Chapter 2: Collection of Data is a chapter in Class 11 Economics (Statistics for Economics), part of the CBSE NCERT curriculum followed by over 25 million students across India. This chapter covers 6 topics including Introduction to Data in Economics, Sources of Data: Primary vs. Secondary, Survey Method for Data Collection. BrainWeave provides free AI-powered explanations — by voice or text, in Hindi or English — with no signup required.

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What you'll learn

▸Introduction to Data in EconomicsCore concept

datavariableobservationfluctuations
▸Sources of Data: Primary vs. SecondaryCore concept

primary datasecondary datafirst hand informationpublished sources
▸Survey Method for Data CollectionCore concept

surveydata collectiongathering informationindividuals
▸Designing a Questionnaire

questionnaireinterview scheduleinstrumentgeneral to specific
▸Principles of Question Phrasing

leading questiondouble negativesambiguousbiased responses
▸Types of Questions: Open-ended vs. Closed-endedCore concept

closed-endedopen-endedstructured questionsmultiple-choice

Chapter Summary

Understand the fundamental concepts of data, how fluctuating economic values are termed 'variables', and how each specific value is an 'observation'. Data is a tool that provides information to understand economic problems.

Distinguish between primary data, which is collected firsthand by a researcher for a specific purpose, and secondary data, which has been collected and processed by another agency. Understand that using secondary data can save time and cost.

Recognize that a survey is a primary method for gathering information from individuals. The purpose of a survey is to collect data to describe characteristics like price, quality, or popularity.

Learn the essential characteristics of a good questionnaire. It should not be too long, should be easy to understand, and the questions should be arranged logically, moving from general to specific.

Understand how to formulate effective questions by avoiding ambiguity, double negatives, and leading questions that might bias the respondent's answer. Questions should be precise and clear.

Differentiate between closed-ended (structured) questions that offer a fixed set of answers (e.g., multiple choice) and open-ended (unstructured) questions that allow for more individualized responses. Understand the pros and cons of each type.

Practice Questions from this Chapter

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Define primary data simply. Get Solution →
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What is data collected by a researcher for the first time for a specific purpose called? Get Solution →
Data that has already been collected and processed by another agency is known as what? Get Solution →
According to the text, what is the most common type of instrument used in surveys? Get Solution →
When there are only two possible answers to a question, such as 'yes' or 'no', what is it called? Get Solution →
In statistics, what are values that can change, often represented by letters like X, Y, or Z, called? Get Solution →

Did you know?

💡 Ancient Egyptians conducted early population counts to manage resources and taxes.
💡 The internet produces over two quintillion bytes of new data daily.
💡 Early human writing systems began as ways to track goods and transactions.
💡 Honeybees perform a "waggle dance" to communicate vital foraging data.
💡 The word "data" comes from a Latin word meaning "things given."

Frequently Asked Questions

How many topics are covered in this chapter?

This chapter covers 6 key topics: Introduction to Data in Economics, Sources of Data: Primary vs. Secondary, Survey Method for Data Collection, Designing a Questionnaire, Principles of Question Phrasing, and more. The BrainWeave AI tutor explains each one with examples.

Is Chapter 2: Collection of Data important for board exams?

Class 11 is a foundation year. Mastering this chapter now will help you build strong fundamentals for the higher classes.

Can I get NCERT solutions for this chapter in Hindi?

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Related Chapters

Chapter 1: Introduction

Chapter 3: Organisation of Data

Chapter 6: Correlation

Chapter 7: Index Numbers

Chapter 4: Presentation of Data

Chapter 8: Use of Statistical Tools

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