CompareMeans.ttost_ind()

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, upp : float equivalence interval low < m1 - m2 < upp usevar : string, ?pooled? or ?unequal? If pooled, then the standard deviation of the samples is assumed to be the same. If unequal, then Welsh 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