UnivariateKruskalWallisTest(IReadOnlyListDouble) Method

public static TestResult KruskalWallisTest(
	params IReadOnlyList<double>[] samples
)

Public Shared Function KruskalWallisTest ( 
	ParamArray samples As IReadOnlyList(Of Double)()
) As TestResult

public:
static TestResult^ KruskalWallisTest(
	... array<IReadOnlyList<double>^>^ samples
)

static member KruskalWallisTest : 
        samples : IReadOnlyList<float>[] -> TestResult 

Parameters

samples  IReadOnlyListDouble

The set of samples to compare.

Return Value

Kruskal-Wallis tests for differences between the samples. It is a non-parametric alternative to the one-way ANOVA (OneWayAnovaTest(IReadOnlyCollectionDouble)) 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 equivalent to a Mann-Whitney test (see MannWhitneyTest(IReadOnlyListDouble, IReadOnlyListDouble)).

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.

Reference