# statsmodels.stats.weightstats.DescrStatsW.tconfint_mean¶

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

two-sided confidence interval for weighted mean of data

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 lower, upper – lower and upper bound of confidence interval floats or ndarrays

Notes

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