Statistics for everyone: ch.9 Kruskal-Wallis test

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ch.9 Kruskal-Wallis test

Select ‘Kruskal-Wallis test’.

Select the same variable as ANOVA.

First, it will automatically create a plot. Other plots of ANOVA that we created earlier are also available.

Running the ‘Kruskal-Wallis rank sum test’ rejects the hypothesis that the three populations are the same, since it is p<0.05. So we did 3 tests compared to the two groups one after the other, and they all showed a p<0.05. In this case, the Holm method of calibrating the value of p is to solve the problem of multiple tests.

‘Kruskal-Wallis test’ and ‘Kruskal-Wallis rank sum test’ are the same name. It is called the ‘Kruskal–Wallis test by ranks’, ‘Kruskal–Wallis H test’, ‘one-way ANOVA on ranks’, ‘ Kruskal–Wallis one-way analysis of variance’, etc.

Select the ‘Kruskal-Wallis test’ from the original menu.

Let’s select dose2 changed to factor.

The median is calculated and the same p value is calculated.

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