statsmodels.stats.weightstats.CompareMeans.zconfint_diff¶
-
CompareMeans.zconfint_diff(alpha=
0.05
, alternative='two-sided'
, usevar='pooled'
)[source]¶ confidence interval for the difference in means
- Parameters:¶
- alpha
float
significance level for the confidence interval, coverage is
1-alpha
- alternative
str
This specifies the alternative hypothesis for the test that corresponds to the confidence interval. The alternative hypothesis, H1, has to be one of the following :
‘two-sided’: H1: difference in means not equal to value (default) ‘larger’ : H1: difference in means larger than value ‘smaller’ : H1: difference in means smaller than value
- usevar
str
, ‘pooled’ or ‘unequal’ If
pooled
, then the standard deviation of the samples is assumed to be the same. Ifunequal
, then Welch ttest with Satterthwait degrees of freedom is used
- alpha
- Returns:¶
- lower, upper
floats
lower and upper limits of the confidence interval
- lower, upper
Notes
The result is independent of the user specified ddof.
Last update:
Oct 29, 2024