statsmodels.stats.weightstats.CompareMeans.ztost_ind
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CompareMeans.ztost_ind(low, upp, usevar='pooled')
[source] -
test of equivalence for two independent samples, based on z-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. Ifunequal
, then Welsh ttest with Satterthwait degrees of freedom is usedReturns: 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
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