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 
 - Added 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- scipy.stats.skewtest.