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UnivariateKruskalWallisTest Method (IReadOnlyListDouble)

Performs a Kruskal-Wallis test on the given samples.

Namespace:  Meta.Numerics.Statistics
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4
public static TestResult KruskalWallisTest(
	params IReadOnlyList<double>[] samples


Type: System.Collections.GenericIReadOnlyListDouble
The set of samples to compare.

Return Value

Type: TestResult
The result of the test.
ArgumentNullExceptionsamples is .

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.

See Also