The Kruskal-Wallis test is often used as an alternative to the ANOVA where the assumption of normality is not acceptable. It is used to test if k samples (k>2) come from the same population or populations with identical properties as regards a position parameter (the position parameter is conceptually close to the median, but the Kruskal-Wallis test takes into account more information than just the position given by the median).
This nonparametric test is to be used when you have k independent samples, in order to determine if the samples come from a single population or if at least one sample comes from a different population than the others.
W.J. Conover, 1999
. Practical Nonparametrics Statistics.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.