ttest_rel#
- scipy.stats.mstats.ttest_rel(a, b, axis=0, alternative='two-sided')[source]#
- Calculates the T-test on TWO RELATED samples of scores, a and b. - Parameters:
- a, barray_like
- The arrays must have the same shape. 
- axisint or None, optional
- Axis along which to compute test. If None, compute over the whole arrays, a, and b. 
- alternative{‘two-sided’, ‘less’, ‘greater’}, optional
- Defines the alternative hypothesis. The following options are available (default is ‘two-sided’): - ‘two-sided’: the means of the distributions underlying the samples are unequal. 
- ‘less’: the mean of the distribution underlying the first sample is less than the mean of the distribution underlying the second sample. 
- ‘greater’: the mean of the distribution underlying the first sample is greater than the mean of the distribution underlying the second sample. 
 - Added in version 1.7.0. 
 
- Returns:
- statisticfloat or array
- t-statistic 
- pvaluefloat or array
- two-tailed p-value 
 
 - Notes - For more details on - ttest_rel, see- scipy.stats.ttest_rel.