statsmodels.stats.weightstats.CompareMeans.ztost_ind¶
- CompareMeans.ztost_ind(low, upp, usevar='pooled')[source]¶
test of equivalence for two independent samples, based on z-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. Ifunequal, 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