Unit3 CLASSIFICATION AND TABULATION Classification of data Classification

Unit-3 CLASSIFICATION AND TABULATION

Classification of data Classification is the process of arranging the data into groups of classes according to common characteristics processed by the items of the data.

Objectives 1. To reduce the size of the data. 2. To bring the similarities together. 3. To facilitate comparison. 4. To give importance to significant features of the data. 5. To enable further statistical analysis.

Types of classification 1. Chronological (temporal) classification 2. Geographical (spatial) classification 3. Qualitative classification 4. Quantitative classification

Chronological (temporal) classification

Geographical (spatial) classification

Qualitative classification The I PU CAMS students can be classified according to their hobbies as: Hobby Badminton Body fitness Cricket Photography No. of Students 10 3 7 9

Qualitative classification Simple/ one-way classification Manifold classification/ Contingency table

Simple or one way classification Classification of data based on a single characteristics is called one way classification. Ex: The I PU CAMS students can be classified according to their hobbies as: Hobby Badminton Body fitness Cricket Photography No. of Students 10 3 7 9

Dichotomous classification A one way classification with only two categories is called dichotomous classification. Ex: Gender Count Female 142 Male 441

Manifold classification/ Contingency tab Classification of units on the basis of attributes in two or more characteristics is called Manifold Classification. Ex: Gender Education Graduate Female Not Graduate Male Not Graduate Location Count Rural 18 Urban 6 Semi urban 45 Semi urban 10 Urban 29 Rural 110 Semi urban 136 Semiurban 36 Urban 130

Quantitative classification

• The number of times an observation is repeated is called frequency. • Frequency corresponding to each class is known as class frequency. • The above two examples are frequency distribution. Frequency distribution 1. Discrete frequency distribution 2. Continuous frequency distribution