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, uppfloat

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. If unequal, then Welch ttest with Satterthwait degrees of freedom is used

Returns:
pvaluefloat

pvalue of the non-equivalence test

t1, pv1tuple of floats

test statistic and pvalue for lower threshold test

t2, pv2tuple of floats

test statistic and pvalue for upper threshold test