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bundles / scipy 1.17.1 / scipy / stats / _mstats_basic / skewtest

function

scipy.stats._mstats_basic:skewtest

source: /scipy/stats/_mstats_basic.py :3026

Signature

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

Summary

Tests whether the skew is different from the normal distribution.

Parameters

a : array_like

The data to be tested

axis : int or None, optional

Axis along which statistics are calculated. Default is 0. If None, compute over the whole array a.

alternative : {'two-sided', 'less', 'greater'}, optional

Defines the alternative hypothesis. Default is 'two-sided'. The following options are available:

  • 'two-sided': the skewness of the distribution underlying the sample is different from that of the normal distribution (i.e. 0)

  • 'less': the skewness of the distribution underlying the sample is less than that of the normal distribution

  • 'greater': the skewness 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

A p-value for the hypothesis test

Notes

For more details about skewtest, see scipy.stats.skewtest.

Aliases

  • scipy.stats._mstats_basic.skewtest