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 – lower and upper bound of confidence interval
Return type:	floats or ndarrays

Notes

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