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# scipy.stats.mstats.ttest_ind

`scipy.stats.mstats.``ttest_ind`(a, b, axis=0, equal_var=True)

  Calculates the T-test for the means of TWO INDEPENDENT samples of scores.

  Parameters: | a, b : array_like The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default). axis : int or None, optional Axis along which to compute test. If None, compute over the whole arrays, a, and b. equal_var : bool, 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. .. versionadded:: 0.17.0
  Returns: | statistic : float or array The calculated t-statistic. pvalue : float or array The two-tailed p-value.

  Notes

  For more details on `ttest_ind`, see stats.ttest_ind.