scipy.stats.mstats.ttest_ind¶
- scipy.stats.mstats.ttest_ind(a, b, axis=0, equal_var=True)[source]¶
Calculates the T-test for the means of TWO INDEPENDENT samples of scores.
- Parameters
- a, barray_like
The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default).
- axisint or None, optional
Axis along which to compute test. If None, compute over the whole arrays, a, and b.
- equal_varbool, optional
If True, perform a standard independent 2 sample test that assumes equal population variances. If False, perform Welch’s t-test, which does not assume equal population variance.
New in version 0.17.0.
- Returns
- statisticfloat or array
The calculated t-statistic.
- pvaluefloat or array
The two-tailed p-value.
Notes
For more details on
ttest_ind, see stats.ttest_ind.