Question

what do you mean by classification? explain its various objectives

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Answer 1

An important method of organization of data is to distribute data into different classes on the basis of their characteristics. This process is known as Classification of Data. Classification is the grouping of related facts into classes or groups. Unorganized or shapeless data can neither be easily compared nor interpreted. The technique of arranging the data in different homogeneous groups is known as Classification.
According to Horace Secrist, "Classification is the process of arranging data into sequence and groups according to their common characteristics or separating them into different but related parts.
Objectives of Classification

These are following objectives of classification:
.
(i) To make the data simple and brief : The main objective of classification is to condense the large data to make them easily understood. For example, if there are 100 students in a class then their marks can be put in the following way :

Answer 2

Answer:

(i) Geographical classification

When data are classified on the basis of location or areas, it is called geographical classification

Example: Classification of production of food grains in different states in India.

States Production of food grains

(in '000 tons)

Tamil Nadu 4500

Karnataka 4200

Andhra Pradesh 3600

(ii) Chronological classification

Chronological classification means classification on the basis of time, like months, years etc.

Year Profits

( in 000 Rupees)

2001 72

2002 85

2003 92

2004 96

2005 95

Example: Profits of a company from 2001 to 2005.

Profits of a company from 2001 to 2005

(iii) Qualitative classification

In Qualitative classification, data are classified on the basis of some attributes or quality such as sex, colour of hair, literacy and religion. In this type of classification, the attribute under study cannot be measured. It can only be found out whether it is present or absent in the units of study.

(iv) Quantitative classification

Quantitative classification refers to the classification of data according to some characteristics, which can be measured such as height, weight, income, profits etc.

Example: The students of a school may be classified according to the weight as follows

Weight (in kgs) No of Studemts

40-50 50

50-60 200

60-70 300

70-80 100

80-90 30

90-100 20

Total 700

There are two types of quantitative classification of data. They are

Discrete frequency distribution

Continuous frequency distribution

In this type of classification there are two elements (i) variable (ii) frequency

xplanation: