statsmodels.stats.weightstats.CompareMeans.zconfint_diff
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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 : string
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 : 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: lower, upper : floats
lower and upper limits of the confidence interval
Notes
The result is independent of the user specified ddof.
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