Write short notes on following methods of classification in statistical survey i. one way classification. ii. two way classification iii. manifold classification.
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1. In statistics, one-way analysis of variance, also called one-way ANOVA, is a technique that can be used to compare means of two or more samples. The ANOVA tests the null hypothesis that samples in all groups are drawn from populations with the same mean values.
2. The two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable.
3. Manifold Classification - If a population is divided into a number of mutually exclusive classes according to some given characteristic and then each class is divided by reference to some second, third, etc. characteristic, the final grouping is called a manifold classification.
2. The two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable.
3. Manifold Classification - If a population is divided into a number of mutually exclusive classes according to some given characteristic and then each class is divided by reference to some second, third, etc. characteristic, the final grouping is called a manifold classification.
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