Kruskal-Wallis-Test (Einfach erklärt)

The Kruskal-Wallis test (H-test) is a hypothesis test for multiple independent samples, used when the requirements for a one-way analysis of variance are not met. Because the Kruskal-Wallis test is a nonparametric test (also called a distribution-free method), the data used do not need to be normally distributed, unlike in analysis of variance. The only requirement is that the data have an ordinal scale. Ordinary variables are sufficient for the Kruskal-Wallis test, since nonparametric methods do not use the differences between values, but rather the ranks (which value is larger, which is smaller). Therefore, the Kruskal-Wallis test is often called the Kruskal-Wallis rank analysis of variance. Calculate the example directly with Numiqo for free, simply click on the link: https://numiqo.com/statistik-rechner/... Click here for the Kruskal-Wallis Test Calculator https://numiqo.com/statistik-rechner/... Click here for the book: https://numiqo.com/statistik-buch