scipy.stats.mstats.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.
New 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
, seescipy.stats.ttest_rel
.