# Organisation of Data Notes, Class 11 Economics | SwaVid

Organisation of Data, NCERT Class 11 Economics: notes with key ideas, definitions, common mistakes and 3 quick checks with worked answers.

Canonical: https://www.swavid.com/cbse/class-11/economics/chapter/organisation-of-data

Source: https://www.swavid.com/cbse/class-11/economics/chapter/organisation-of-data

# Organisation of Data

## Definitions, formats and formulas

## Key ideas

## Common mistakes

## Quick checks

## Keep going

## Questions parents ask

## Class 11 Economics on SwaVid

### Raw data and classification

### Types of classification

### Variables and their types

### Frequency distribution

### Exclusive and inclusive methods

### Bivariate frequency distribution

### Next chapter

### Related chapter

### Related chapter

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SwaVid › CBSE › Class 11 › Economics › Organisation of Data

Notes written by SwaVid from the NCERT textbook.

Class 11 Economics, Chapter 3. Key ideas, definitions and common mistakes.

CBSE does not print marks for a single chapter.

Short answer. This chapter explains how raw data collected from the field is classified and arranged systematically into tables and frequency distributions. It teaches how to group discrete and continuous variables into meaningful classes using tally marks and frequency tables.

Source: NCERT Statistics for Economics (Reprint 2026-27) , Chapter 3, Organisation of Data

Unorganised data gathered from an enquiry is called raw data. Classification is the process of arranging data into groups or classes according to their common characteristics.

Data can be classified chronologically by time, spatially by geographical location, qualitatively by non-measurable attributes, or quantitatively by measurable numerical values.

A variable is a characteristic that varies from one individual to another and can be expressed numerically. Discrete variables jump in definite steps, whereas continuous variables can take any real value within a specific range.

A frequency distribution shows how different values of a variable are distributed along with their corresponding frequencies. Classes are defined by lower and upper class limits, class width, and mid-points.

In the exclusive method, an observation equal to the upper limit belongs to the next higher class. In the inclusive method, both the lower and upper limits are included within the same class.

When data is classified on the basis of two variables simultaneously, it forms a bivariate frequency distribution. It shows the joint frequency distribution of two variables in a grid.

Try each question first. Then tap it to see the answer.

Identify the largest value: L = 90

Identify the smallest value: S = 12

Range = L - S = 90 - 12 = 78

78 marks

Lower limit = 30, Upper limit = 40

Class mark = (30 + 40) / 2 = 70 / 2 = 35

Class width = 40 - 30 = 10

Class mark = 35, Class width = 10

Difference between the lower limit of the second class and upper limit of the first class = 20 - 19 = 1

Adjustment factor = 1 / 2 = 0.5

Lower boundary = 10 - 0.5 = 9.5

Upper boundary = 19 + 0.5 = 19.5

9.5-19.5

Presentation of Data .

Collection of Data .

Measures of Central Tendency .

The 13 chapters of Class 11 Economics .

CBSE does not give marks to one chapter. It prints marks for units or parts, and the chapter list page shows them all.

No. They are written by SwaVid from the NCERT textbook. The CBSE curriculum is the reference for what is assessed.

Presentation of Data.

SwaVid is an AI tutor for Indian students in Classes 6 to 12. It finds the earlier ideas a child missed, then teaches today’s chapter. Start free to see how it works.

- Ch 3 NCERT book
- 80 marks, theory paper
- 3 quick checks
- Placing an observation equal to the upper limit inside an exclusive class . In an exclusive series, the upper limit is excluded from that class. Place that observation into the next higher class where it serves as the lower limit.
- Confusing discrete variables with continuous variables . Check whether intermediate values are possible. A variable like family size changes in whole numbers, so it is discrete, whereas weight or height can take fractional values, so it is continuous.
- Thinking inclusive class intervals must be converted to exclusive intervals to calculate class marks . For inclusive classes like 1-5 and 6-10, add the stated lower and upper limits and divide by 2, which gives (1 + 5) / 2 = 3. Do not confuse the mid-point calculation with class width.

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