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# scipy.stats.mstats.kruskalwallis

`scipy.stats.mstats.``kruskalwallis`(*args)

  Compute the Kruskal-Wallis H-test for independent samples

  The Kruskal-Wallis H-test tests the null hypothesis that the population median of all of the groups are equal. It is a non-parametric version of ANOVA. The test works on 2 or more independent samples, which may have different sizes. Note that rejecting the null hypothesis does not indicate which of the groups differs. Post-hoc comparisons between groups are required to determine which groups are different.

  Parameters: | sample1, sample2, ... : array_like Two or more arrays with the sample measurements can be given as arguments.
  Returns: | statistic : float The Kruskal-Wallis H statistic, corrected for ties pvalue : float The p-value for the test using the assumption that H has a chi square distribution

  Notes

  Due to the assumption that H has a chi square distribution, the number of samples in each group must not be too small. A typical rule is that each sample must have at least 5 measurements.

  References

  [R336] | http://en.wikipedia.org/wiki/Kruskal-Wallis_one-way_analysis_of_variance