METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Match the following Parametric and its corresponding Non Parametric test. Parametric-1. Independent T-Test, 2. ANOVA, 3. Paired T Test. Non Parametric-a)Wilcoxon, b) Kruskal Wallis, c) Mann Whitney
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1-a, 2-b, 3-c
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1-b, 2-c, 3-a
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1-c, 2-b, 3-a
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None of the above
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Explanation:
Detailed explanation-1: -The non-parametric analog of the t-test is the Wilcoxon test. It is called a non-parametric test because it does not assume that the data come from any particular parametric probability distribution, such as the *t-distribution. They could come from wherever, however, and the Wilcoxon test would still be appropriate.
Detailed explanation-2: -The Kruskal-Wallis test is one of the non parametric tests that is used as a generalized form of the Mann Whitney U test.
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