Colloquium Biometricum (Online)
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Vol:
43
Page:
73
Authors:
Magdalena Ćwiklińska
Zofia Hanusz
Title:
Power of parametric and nonparametric tests of several mean populations
Language:
English
Keywords:
normality
Kruskal-Wallis test
the F test
power
Summary:
One of the main statistical problem is testing the hypothesis about equality of means of several populations. In practice, to test this hypothesis the F test is used. However, the F test needs normality of populations and homogeneity of variances. In practice, generally these assumptions are not fulfilled. In such cases nonparametric tests should be used. Practitioners apply the F-test without verifying assumptions, with confidence that this test is the best one. In the paper we show in simulation study that nonparametric Kruskal-Wallis test is not worse than the F test by mean of their sample significance levels, and power under several alternative conditions.