Kruskal Wallis Test Hypothesis. It extends the mann whitney u test which is used for comparing only two groups. It is generally used when the measurement variable does not meet the normality assumptions of one way anova.
The kruskal wallis test can be applied in the one factor anova case. The h test is used when the assumptions for anova aren t met like the assumption of normality. Both the kruskal wallis test and one way anova assess for significant differences on a continuous dependent variable by a categorical independent variable with two or more groups.
The parametric equivalent of the kruskal wallis test is the one way analysis of variance.
The kruskal wallis test can be applied in the one factor anova case. It is a non parametric test for the situation where the anova normality assumptions may not apply. Although this test is for identical populations it is designed to be sensitive to unequal means. Perform the kruskal wallis test.
