Module « scipy.stats.mstats »

Fonction kruskal - module scipy.stats.mstats

Signature de la fonction kruskal

def kruskal(*args) 

Description

kruskal.__doc__

    Compute the Kruskal-Wallis H-test for independent samples

    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
    -----
    For more details on `kruskal`, see `stats.kruskal`.

    Examples
    --------
    >>> from scipy.stats.mstats import kruskal

    Random samples from three different brands of batteries were tested
    to see how long the charge lasted. Results were as follows:

    >>> a = [6.3, 5.4, 5.7, 5.2, 5.0]
    >>> b = [6.9, 7.0, 6.1, 7.9]
    >>> c = [7.2, 6.9, 6.1, 6.5]

    Test the hypotesis that the distribution functions for all of the brands'
    durations are identical. Use 5% level of significance.

    >>> kruskal(a, b, c)
    KruskalResult(statistic=7.113812154696133, pvalue=0.028526948491942164)

    The null hypothesis is rejected at the 5% level of significance
    because the returned p-value is less than the critical value of 5%.