bundles / scipy 1.18.0 / scipy / stats / _mstats_basic / normaltest

function

`scipy.stats._mstats_basic:normaltest`

source: /scipy/stats/_mstats_basic.py:3331

Signature

def normaltest(a, axis = 0)

Summary

Tests whether a sample differs from a normal distribution.

Parameters

a : array_like: The array containing the data to be tested.
axis : int or None, optional: Axis along which to compute test. Default is 0. If None, compute over the whole array a.

Returns

statistic : float or array: s^2 + k^2, where s is the z-score returned by skewtest and k is the z-score returned by kurtosistest.
pvalue : float or array: A 2-sided chi squared probability for the hypothesis test.

Notes

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

Aliases

scipy.stats._mstats_basic.normaltest