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

Notes

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

Examples

See :

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GitHub : /scipy/stats/_mstats_basic.py#2964
type: <class 'function'>
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