DescrStatsW.zconfint_mean()

statsmodels.stats.weightstats.DescrStatsW.zconfint_mean

DescrStatsW.zconfint_mean(alpha=0.05, alternative='two-sided') [source]

two-sided confidence interval for weighted mean of data

Confidence interval is based on normal distribution. If the data is 2d, then these are separate confidence intervals for each column.

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: mean not equal to value (default) ?larger? : H1: mean larger than value ?smaller? : H1: mean smaller than value
Returns:	lower, upper : floats or ndarrays lower and upper bound of confidence interval

Notes

In a previous version, statsmodels 0.4, alpha was the confidence level, e.g. 0.95