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Quantitative Techniques – I Neha Tikoo, Lovely Professional University

Notes Unit 2: Classification of Data

CONTENTS
Objectives
Introduction
2.1 Classification
2.2 Types of Classification

2.3 Formation of A Frequency Distribution
2.3.1 Construction of a Discrete Frequency Distribution
2.3.2 Construction of a Continuous Frequency Distribution

2.3.3 Relative or Percentage Frequency Distribution
2.3.4 Cumulative Frequency Distribution
2.3.5 Frequency Density
2.4 Bivariate and Multivariate Frequency Distributions
2.5 Summary

2.6 Keywords
2.7 Review Questions
2.8 Further Readings

Objectives

After studying this unit, you will be able to:
Define the term classification
Discuss its objectives and requisites
Explain the different types of classification

Analyze the formation of frequency distribution
Know about Frequency Density

Introduction

The collected data are a complex and unorganised mass of figures which is very difficult to
analyse and interpret. Therefore, it becomes necessary to organise this so that it becomes easier
to grasp its broad features. Further, in order to apply the tools of analysis and interpretation, it
is essential that the data are arranged in a definite form. This task is accomplished by the process
of classification and tabulation.

2.1 Classification

Classification is the process of arranging the available data into various homogeneous classes
and subclasses according to some common characteristics or objective of investigation. In the
words of L.R. Connor, “Classification is the process of arranging things (either actually or

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