Kruskal Wallis Test Interpretation. The kruskal wallis test is the non parametric equivalent of an anova analysis of variance. You need to inspect the group means or medians to decide precisely how they differ.
H is the test statistic for the kruskal wallis test. However in this particular case the interpretation seems fairly straightforward. The kruskal wallis test is a nonparametric distribution free test and is used when the assumptions of one way anova are not met.
H is the test statistic for the kruskal wallis test.
This test is the nonparametric equivalent of the one way anova and is typically used when the normality assumption is violated. H is the test statistic for the kruskal wallis test. It is important to realize that the kruskal wallis h test is an omnibus test statistic and cannot tell you which specific groups of your independent variable are statistically significantly different from each other. Kruskal wallis is used when researchers are comparing three or more independent groups on a continuous outcome but the assumption of homogeneity of variance between the groups is violated in the anova analysis.
