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
, wheres
is the z-score returned byskewtest
andk
is the z-score returned bykurtosistest
.- pvaluefloat or array
A 2-sided chi squared probability for the hypothesis test.
Notes
For more details about
normaltest
, seescipy.stats.normaltest
.