NCERT Class 11 Economics Statistics for Economics: Chapter 3 — INTRODUCTION
This chapter, "Organisation of Data," from NCERT's Statistics for Economics textbook for Class 11, explains the crucial next step after data collection: organizing it. It highlights that raw data is often unmanageable and difficult to analyze. The chapter uses the analogy of a junk dealer to illustrate how classification brings order by grouping similar items into categories like "newspapers," "plastics," or "metals." This process makes data easier to handle and analyze, enabling meaningful conclusions. Students will learn the purpose of classification, distinguish between quantitative and qualitative data, understand frequency distribution tables, class formation, tally marking, and differentiate between univariate and bivariate distributions. This organization is essential for effective statistical analysis and aids in understanding student performance or other data-driven insights, aligning with CBSE learning objectives.
Quick info
| Board | CBSE / NCERT |
|---|---|
| Class | Class 11 |
| Subject | Economics |
| Book | Statistics for Economics |
| Chapter | Chapter 3 — INTRODUCTION |
| Language | English |
| PDF type | NCERT Textbook |
| Session | CBSE 2026 |
| Reading time | 4 minutes |
| Word count | 603 |
Learning outcomes
- Understand the necessity of organizing raw data.
- Learn to classify data into meaningful groups.
- Distinguish between quantitative and qualitative classification.
- Prepare frequency distribution tables.
- Familiarize with tally marking and class formation.
- Differentiate between univariate and bivariate distributions.
Vocabulary
| Word | Meaning |
|---|---|
| Classification | Arranging or organizing things into groups or classes based on some criteria. |
| Raw Data | Unclassified and unorganized data. |
| Frequency Distribution | A table that shows the frequency of different values or classes in a dataset. |
| Quantitative Classification | Classification based on numerical characteristics. |
| Qualitative Classification | Classification based on attributes or characteristics. |
| Univariate Distribution | A frequency distribution of a single variable. |
| Bivariate Distribution | A frequency distribution of two variables. |
| Tally Marking | A method of counting frequencies using vertical strokes. |
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Practice questions
- What is the primary purpose of classifying raw data? Answer: To bring order to data, making it easier for further statistical analysis.
- Give an example of qualitative classification. Answer: Grouping students by gender (male/female) or by subject (Arts/Science/Commerce).
- What is a frequency distribution table? Answer: A table that organizes data by showing the frequency of each value or class.
- Explain the difference between univariate and bivariate distributions. Answer: Univariate deals with one variable, while bivariate deals with two variables.
Frequently asked questions
What is the main goal of organizing data in statistics?
The main goal is to bring order to raw data, making it easier to understand, analyze, and draw meaningful conclusions.
Why is raw data difficult to handle?
Raw data is often large, unorganized, and cumbersome, making it difficult to analyze using statistical methods.
What is the difference between quantitative and qualitative classification?
Quantitative classification is based on numerical measurements (e.g., age, marks), while qualitative classification is based on attributes or characteristics (e.g., gender, nationality).
What is a frequency distribution?
A frequency distribution is a way to organize data by showing how often each value or category appears in a dataset.
What does tally marking help with in data organization?
Tally marking is a method used to count the frequency of observations within each class or category.
What is the next step after collecting data?
The next step after collecting data is to organize and present it in a classified form for analysis.
Related resources
Important topics
Topics covered
NCERT Class 11 Economics — Statistics for Economics — Chapter 3 — INTRODUCTION. Verified by NCERT Help Editorial Team. Reviewed on 29 Jul 2026. Last updated 10 Aug 2026.