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bundles / scipy latest / scipy / stats / _mstats_basic / kurtosistest

function

scipy.stats._mstats_basic:kurtosistest

source: /scipy/stats/_mstats_basic.py :3087

Signature

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

Summary

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

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.

Aliases

  • scipy.stats._mstats_basic.kurtosistest