scipy.stats.mstats.normaltest#

scipy.stats.mstats.normaltest(a, axis=0)[source]#

Tests whether a sample differs from a normal distribution.

Parameters
aarray_like

The array containing the data to be tested.

axisint or None, optional

Axis along which to compute test. Default is 0. If None, compute over the whole array a.

Returns
statisticfloat or array

s^2 + k^2, where s is the z-score returned by skewtest and k is the z-score returned by kurtosistest.

pvaluefloat or array

A 2-sided chi squared probability for the hypothesis test.

Notes

For more details about normaltest, see stats.normaltest.

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