classification

Classification
The data collected for the purpose of a statistical inquiry some times consists of a few fairly simple figures, which can be easily understood without any special treatment. But more often there is an overwhelming mass of raw data without any structure. Thus, unwieldy, unorganised and shapeless mass of collected is not capable of being rapidly or easily associated or interpreted. Unorganised data are not fit for further analysis and interpretation. In order to make the data simple and easily understandable the first task is not condense and simplify them in such a way that irrelevant data are removed and their significant features are stand out prominently. The procedure adopted for this purpose is known as method of classification and tabulation. Classification helps proper tabulation.
“Classified and arranged facts speak themselves; unarranged, unorganised they are dead as mutton”.
- Prof. J.R. Hicks
• Meaning of Classification
Classification is a process of arranging things or data in groups or classes according to their resemblances and affinities and gives expressions to the unity of attributes that may subsit among a diversity of individuals.

• Definition of Classification
Classification is the process of arranging data into sequences and groups according to their common characteristics or separating them into different but related parts.
- Secrist
The process of grouping large number of individual facts and observations on the basis of similarity among the items is called classification.
- Stockton & Clark
Characteristics of classification
a) Classification performs homogeneous grouping of data
b) It brings out points of similarity and dissimilarities.
c) The classification may be either real or imaginary
d) Classification is flexible to accommodate adjustments



Objectives / purposes of classifications
i) To simplify and condense the large data
ii) To present the facts to easily in understandable form
iii) To allow comparisons
iv) To help to draw valid inferences
v) To relate the variables among the data
vi) To help further analysis
vii) To eliminate unwanted data
viii) To prepare tabulation