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Module « scipy.stats.mstats »

Fonction kurtosistest - module scipy.stats.mstats

Signature de la fonction kurtosistest

def kurtosistest(a, axis=0, alternative='two-sided') 

Description

help(scipy.stats.mstats.kurtosistest)

Tests whether a dataset has normal kurtosis

Parameters
----------
a : array_like
    array of the sample data
axis : int or None, optional
   Axis along which to compute test. Default is 0. If None,
   compute over the whole array `a`.
alternative : {'two-sided', 'less', 'greater'}, optional
    Defines the alternative hypothesis.
    The following options are available (default is 'two-sided'):

    * 'two-sided': the kurtosis of the distribution underlying the sample
      is different from that of the normal distribution
    * 'less': the kurtosis of the distribution underlying the sample
      is less than that of the normal distribution
    * 'greater': the kurtosis of the distribution underlying the sample
      is greater than that of the normal distribution

    .. versionadded:: 1.7.0

Returns
-------
statistic : array_like
    The computed z-score for this test.
pvalue : array_like
    The p-value for the hypothesis test

Notes
-----
For more details about `kurtosistest`, see `scipy.stats.kurtosistest`.

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