statsmodels.stats.proportion.proportions_ztost¶
-
statsmodels.stats.proportion.proportions_ztost(count, nobs, low, upp, prop_var=
'sample'
)[source]¶ Equivalence test based on normal distribution
- Parameters:¶
- count{
int
, array_like} the number of successes in nobs trials. If this is array_like, then the assumption is that this represents the number of successes for each independent sample
- nobs
int
the number of trials or observations, with the same length as count.
- low, upp
float
equivalence interval low < prop1 - prop2 < upp
- prop_var
str
orfloat
in
(0, 1) prop_var determines which proportion is used for the calculation of the standard deviation of the proportion estimate The available options for string are ‘sample’ (default), ‘null’ and ‘limits’. If prop_var is a float, then it is used directly.
- count{
- Returns:¶
Notes
checked only for 1 sample case
Last update:
Dec 11, 2024