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{“pooled”, “unequal”},
optional If
pooled, then the standard deviation of the samples is assumed to be the same. Ifunequal, then Welch ttest with Satterthwait degrees of freedom is used
- low, upp
- Returns: