scipy.stats.mstats.

normaltest

scipy.stats.mstats.normaltest(a, axis=0)

Tests whether a sample differs from a normal distribution.

Deprecated since version 2.0.0: scipy.stats.mstats.normaltest is deprecated as of SciPy 2.0.0 and will be removed, along with the scipy.stats.mstats namespace, in SciPy 2.4.0. For similar functionality, use scipy.stats.normaltest with MArray(s) instead of NumPy masked array(s).

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 scipy.stats.normaltest.