statsmodels.stats.weightstats.CompareMeans.ttost_ind

CompareMeans.ttost_ind(low, upp, usevar='pooled')[source]

test of equivalence for two independent samples, base on t-test

Parameters:
low : float

equivalence interval low < m1 - m2 < upp

upp : float

equivalence interval low < m1 - m2 < upp

usevar : str, 'pooled' or 'unequal'

If pooled, then the standard deviation of the samples is assumed to be the same. If unequal, then Welch ttest with Satterthwait degrees of freedom is used

Returns:

  • pvalue (float) – pvalue of the non-equivalence test

  • t1, pv1 (tuple of floats) – test statistic and pvalue for lower threshold test

  • t2, pv2 (tuple of floats) – test statistic and pvalue for upper threshold test