CHAPTER---3

CLASSIFICATION OF DATA :

FREQUENCY DISTRIBUTION

INTRODUCTION

After the data have been collected, the next step is to present the data in some orderly and logical form so that their essential features may become explicit. The unorganised and shapeless data can neither be easily competent nor interpreted.

CLASSIFICATION OF DATA

Classification is the process of arranging the data into different groups or classes according to some common characteristics. “classification is the grouping of related facts into classes.”

The Process of classification data are classified into various homogenous groups or classes on the basis of similarities and resemblances.

DEFINITION

“Classification is the process of arranging things in groups according to their resemblances and affinities.” ---Connor

OBJECTIVES OF CLASSIFICATION To condense the mass of data in such a way

that their similarities and dissimilarities become very clear.

To facilitate comparisons i.e. , to make the data comparable.

To point out the most important features of the data at a glance.

To present the data in a brief form. To enable statistical treatment of the data

collected . To make data attractive and effective.

METHODS OF CLASSIFICATION1) GEOGRAPHICAL

CLASSIFICATION2) CHRONOLOGICAL

CLASSIFICATION3) QUALITATIVE CLASSIFICATION4) QUANTITATIVE CLASSIFICATION

GEOGRAPHICAL CLASSIFICATION In this, data are classified on the

basis of geographical or locational differences between the various items

NO. OF FIRMS PRODUCING BICYCLES IN 2001 STATE NO. OF FIRMS

Punjab 30

Haryana 20

U.P 25

CHRONOLOGICAL CLASSIFICATIONWhen data are classified on the basis

of time, it is known as chronological classification.

POPULATION OF INDIA ( 1951 TO 1991 )

YEAR POPULATION( IN CRORES)

1951 36.1

1961 43.9

1971 54.8

1981 68.4

1991 84.4

QUALITATIVE CLASSIFICATION In this type of classification, data

are classified on the basis of some attribute or quality such as sex, literacy, religion, etc.This classification may be two types.

i)Simple classificationii) Manifold classification

QUANTITATIVE CLASSIFICATION When data are classification on the

basis of some characteristics which is capable of direct quantitative measurement such as height, weight, income, marks,etc it is called quantitative classification.

VARIABLE

The characteristic, which is capable of direct quantitative measurement is called a variable or variate. Height, weight, production, consumption etc. A variable may be either discrete or continuous

WAYS TO CLASSIFY NUMERICAL DATA OR RAW DATA(I) Ordered Array or Individual Series(II) Frequency Distribution:

(a) Discrete Frequency Distribution or Discrete Series

(b) Continuous Frequency Distribution or Continuous series

Ordered Array or Individual Series

An ordered array or individual series is an orderly arrangement of data according to ascending or descending order of magnitude.

FREQUENCY DISTRIBUTION

The Frequency distribution is a statistical table which shows the values of the variable arranged in order of magnitude, either individually or in groups. There are two types of frequency distributions.

Discrete frequency distribution Grouped frequency distribution

USEFUL TERMS ASSOCIATED WITH GROUPED FREQUENCY DISTRIBUTION( A) Class interval, or Class(B)Class frequency(C) Class limits(D) Class mark (or mid-value)(E) Width or Magnitude of the class

KINDS OF CONTINUOUS SERIES

EXCLUSIVESERIES

OPEN ENDED SERIES

MID-VALUE SERIES

CUMULATIVE

FREQUENCY SERIES

INCLUSIVESERIES