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# For example if we classify population simultaneously

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Unformatted text preview: h respect to two attributes, e.g sex and employment, then population are first classified with respect to ‘ sex’ into ‘ males’ and ‘ females’ . Each of these classes may then be further classified into ‘ employment’ and ‘ unemployment’ on the basis of attribute ‘ employment’ and as such Population are classified into four classes namely. (i) Male employed (ii) Male unemployed (iii) Female employed (iv) Female unemployed Still the classification may be further extended by considering other attributes like marital status etc. This can be explained by the following chart Population Male Employed Unemployed Female Employed Unemployed d) Quantitative classification: Quantitative classification refers to the classification of data according to some characteristics that can be measured such as height, weight, etc., For example the students of a college may be classified according to weight as given below. 40 Weight (in lbs) 90-100 100-110 110-120 120-130 130-140 140-150 Total No of Students 50 200 260 360 90 40 1000 In this type of classification there are two elements, namely (i) the variable (i.e) the weight in the above example, and (ii) the frequency in the number of students in each class. There are 50 students having weights ranging from 90 to 100 lb, 200 students having weight ranging between 100 to 110 lb and so on. 3.5 Tabulation: Tabulation is the process of summarizing classified or grouped data in the form of a table so that it is easily understood and an investigator is quickly able to locate the desired information. A table is a systematic arrangement of classified data in columns and rows. Thus, a statistical table makes it possible for the investigator to present a huge mass of data in a detailed and orderly form. It facilitates comparison and often reveals certain patterns in data which are otherwise not obvious.Classification and ‘ Tabulation’ , as a matter of fact, are not two distinct processes. Actually they go together. Before tabulation data ar...
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