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
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.
ArgumentNullException | samples is . |