scipy.stats.mstats.skewtest#
- scipy.stats.mstats.skewtest(a, axis=0, alternative='two-sided')[source]#
Tests whether the skew is different from the normal distribution.
- Parameters
- aarray_like
The data to be tested
- axisint or None, optional
Axis along which statistics are calculated. Default is 0. If None, compute over the whole array a.
- alternative{‘two-sided’, ‘less’, ‘greater’}, optional
Defines the alternative hypothesis. Default is ‘two-sided’. The following options are available:
‘two-sided’: the skewness of the distribution underlying the sample is different from that of the normal distribution (i.e. 0)
‘less’: the skewness of the distribution underlying the sample is less than that of the normal distribution
‘greater’: the skewness of the distribution underlying the sample is greater than that of the normal distribution
New in version 1.7.0.
- Returns
- statisticarray_like
The computed z-score for this test.
- pvaluearray_like
A p-value for the hypothesis test
Notes
For more details about
skewtest, see stats.skewtest.