statsmodels.stats.weightstats.ztost¶
-
statsmodels.stats.weightstats.ztost(x1, low, upp, x2=
None
, usevar='pooled'
, ddof=1.0
)[source]¶ Equivalence test based on normal distribution
- Parameters:¶
- x1array_like
one sample or first sample for 2 independent samples
- low, upp
float
equivalence interval low < m1 - m2 < upp
- x1array_like or
None
second sample for 2 independent samples test. If None, then a one-sample test is performed.
- usevar
str
, ‘pooled’ If pooled, then the standard deviation of the samples is assumed to be the same. Only pooled is currently implemented.
- Returns:¶
Notes
checked only for 1 sample case
Last update:
Nov 14, 2024