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
str
, ‘pooled’ or ‘unequal’ 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:
- 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
Last update:
Dec 16, 2024