Kruskal Wallis H Table. It is analogous to a one way anova but uses ranks of items in various groups to determine the likely significance. Non parametric means that the test doesn t assume your data comes from a particular distribution.
Be sure kruskal wallis h is checked in the test type area. Allen wallis or one way anova on ranks is a non parametric method for testing whether samples originate from the same distribution. The kruskal wallis test by ranks kruskal wallis h test named after william kruskal and w.
Allen wallis or one way anova on ranks is a non parametric method for testing whether samples originate from the same distribution.
P e 2 e e 2 e 2 2 2 e 2 2 2 2 2 2 1 1 r e e e 2 e e 2 2 2 s 2 2 2 2 2 2 2 2 s s 2 2 2 s s 2 2 s s s e 2 s 2 s s s s 2 s s s s 2 s 2 s s 2 s s e. Pas e era t 200 o ero 2 ese e. The kruskal wallis test is appropriate when you have non parametric data and one predictor variable section 10 2. It is analogous to a one way anova but uses ranks of items in various groups to determine the likely significance.
