|SampleKruskalWallisTest Method (Sample)|
public static TestResult KruskalWallisTest( params Sample samples )
Public Shared Function KruskalWallisTest ( ParamArray samples As Sample() ) As TestResult
public: static TestResult^ KruskalWallisTest( ... array<Sample^>^ samples )
static member KruskalWallisTest : samples : Sample -> TestResult
|ArgumentNullException||samples is .|
Kruskal-Wallis tests for differences between the samples. It is a non-parametric alternative to the one-way ANOVA (OneWayAnovaTest(Sample)), which is more appropriate when the data far from normally distributed.
The test is essentially a one-way ANOVA performed on the ranks of sample values instead of the sample values themselves.
A Kruskal-Wallis test on two samples is equivilent to a Mann-Whitney test (see MannWhitneyTest(Sample, Sample)).
As with a normal ANOVA, it is not appropriate to bin a continuous independent variable in order to form groups for a Kruskal-Wallis test. Kruskal-Wallis addresses the non-normality of the dependent variable, not the non-discreteness of the independent variable.