1. /
2. CBSE
3. /
4. Class 11
5. /
6. Organisation of Data class...

Organisation of Data class 11 Notes Economics

myCBSEguide App

Download the app to get CBSE Sample Papers 2023-24, NCERT Solutions (Revised), Most Important Questions, Previous Year Question Bank, Mock Tests, and Detailed Notes.

CBSE Economics Chapter 3 Organisation of Data class 11 Notes Economics in PDF are available for free download in myCBSEguide mobile app. The best app for CBSE students now provides Organisation of Data class 11 Notes Economics latest chapter wise notes for quick preparation of CBSE exams and school based annual examinations. Class 11 Economics notes on Chapter 3 Organisation of Data class 11 Notes Economics are also available for download in CBSE Guide website.

CBSE Guide Organisation of Data class 11 Notes

CBSE guide notes are the comprehensive notes which covers the latest syllabus of CBSE and NCERT. It includes all the topics given in NCERT class 11 Economics text book. Users can download CBSE guide quick revision notes from myCBSEguide mobile app and my CBSE guide website.

Organisation of Data class 11 Notes Economics

Download CBSE class 11th revision notes for Chapter 3 Organisation of Data class 11 Notes Economics in PDF format for free. Download revision notes for Organisation of Data class 11 Notes Economics and score high in exams. These are the Organisation of Data class 11 Notes Economics prepared by team of expert teachers. The revision notes help you revise the whole chapter in minutes. Revising notes in exam days is on of the best tips recommended by teachers during exam days.

CBSE Class 11 Economics
Revision Notes
Chapter – 3
Organisation of Data class 11 Notes Economics

Organization of data refers to the systematic arrangement of collected figures (raw data), so that the data becomes easy to understand and more convenient for further statistical treatment .

Classification is the process of arranging data into sequences and groups according to their common characteristics of separating them in to different but related parts.

Characteristics of classification:
1. Homogeneity
2.Suitability
3. Clarity
4. Flexibility
5. Diversification

A variable is a characteristic which is capable of being measured and capable of change in its value from time to time.

Basis of classification:
Raw data can be classified as:
1. Chronological classification:
In such a classification data are classified either in ascending or in descending order with reference to time such as years, quarters, months weeks etc.
2. Geographical/Spatial classification: The data are classified with reference to geographical location/place such as countries, states , cities, districts, block etc.
3. Qualitative classification: Data are classified with reference to descriptive characteristics like sex, caste, religion literacy etc.
4. Quantitative classification: Data are classified on the basis of some measurable characteristics such as height, age, weight, income, marks of students.
5. conditional classification: When data are classified with respect to condition, the type of classification is called conditional classification.
A mass of data in its original form is called raw data. It is an unorganized mass of various items.
A characteristic which is capable of being measured and changes its value overtime is called a variable. It is of two types.
(a) Discrete
(b) Continuous

Discrete: Discrete variable are those variables that increase in jumps or in complete numbers and are not fractional. Ex.-number of student in a class could be 2, 4, 10, 15,, 20, 25, etc. It does not take any fractional value between them.

Continuous variable: Continuous variables are those variables that can takes any value i.e. integral value or fractional value in a specified interval.Ex- Wages of workers in a factory.

A frequency distribution is a comprehensive way to classify raw data of a quantitative variable. It shows how different values of a variable is distributed in different classes along with their corresponding class frequencies.

The class mid-point or class mark is the middle value of a class. It lies halfway between the lower class limit and the upper class limit of a class and can be ascertained in the following manner.

Class mid-point = upper class limit + lower class limit / 2.

Class frequency: It means the number of values in a particular class.
Class width:- It is the difference between the upper class limit and lower class limit

Class width = upper class Limit – Lower class Limit

Class Limits:- There are two ends of a class. The lowest value is called lower class limit and highest value is called upper class limit.
The classes, by the exclusive method is formed in such a way that the upper class limit of one class equals the lower class limit of the next class. eg 0-10, 10-20.
In comparison to the exclusive method, the inclusive method does not excludes the upper class limit in a class interval. It includes the upper class in a class. Thus both class limits are parts of the class intervals e.g., 0-9, 10-19.
The classification of data as a frequency distribution has an inherent short coming. While it summarizes the raw data making it concise and comprehensible. It does not show the details that are found in raw data. So there is a loss of information in classifying raw data.
Classification of data implies conversion of raw data in to statistical series.

The difference between Univariate and Bivariate Frequency distribution

 Basis Univariate Frequency distribution Bivariate Frequency distribution Meaning When data is classified on the basis of single variable,the distribution is known as univariate frequency distribution. when data is classified on the basis of two variables, the distribution is known as bivariate frequency distribution. Alternate Name One-way frequency Two-way frequency Example Height of students in a class Height and weight of students in a class

Broadly statistical series are of two types.
Types of series
1. Individual series
2. Frequency series
a. Discrete series Or frequency array
b. Frequency distribution or continuous series

Individual series are those series in which the items are listed singly. For example:

 Sr. No. of  workers Daily wages(in Rs.) 1 25 2 50 3 35 4 40 5 20 6 45

A discrete series or frequency array is that series in which data are prescribed in a way that exact measurements of items are clearly shown. The example in following table illustrates a frequency array.

Frequency array of the size of household

 Size of the household Number of household (Frequency) 1 5 2 15 3 25 4 35 5 10 6 5

A continuous series: It is that series in which items cannot be exactly measured. The items assume a range of values and are placed within the range of limits. In other words, data are classified into different classes with a range, the range is called class-intervals.

Frequency distribution or continuous series

 Marks Frequency 10-20 4 20-30 5 30-40 8 40-50 5 50-60 4 60-70 3

Organisation of Data class 11 Notes

• CBSE Revision notes for Class 11 Economics PDF
• CBSE Revision notes Class 11 Economics – CBSE
• CBSE Revisions notes and Key Points Class 11 Economics
• Summary of the NCERT books all chapters in Economics class 11
• Short notes for CBSE class 11th Economics
• Key notes and chapter summary of Economics class 11
• Quick revision notes for CBSE exams

CBSE Class-11 Revision Notes and Key Points

Organisation of Data class 11 Notes Economics. CBSE quick revision note for class-11 Mathematics, Physics, Chemistry, Biology and other subject are very helpful to revise the whole syllabus during exam days. The revision notes covers all important formulas and concepts given in the chapter. Even if you wish to have an overview of a chapter, quick revision notes are here to do if for you. These notes will certainly save your time during stressful exam days.

To download Organisation of Data class 11 Notes, sample paper for class 11 Chemistry, Physics, Biology, History, Political Science, Economics, Geography, Computer Science, Home Science, Accountancy, Business Studies and Home Science; do check myCBSEguide app or website. myCBSEguide provides sample papers with solution, test papers for chapter-wise practice, NCERT solutions, NCERT Exemplar solutions, quick revision notes for ready reference, CBSE guess papers and CBSE important question papers. Sample Paper all are made available through the best app for CBSE students and myCBSEguide website.

Test Generator

Create question paper PDF and online tests with your own name & logo in minutes.

myCBSEguide

Question Bank, Mock Tests, Exam Papers, NCERT Solutions, Sample Papers, Notes

1 thought on “Organisation of Data class 11 Notes Economics”

1. easy language