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
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: mean not equal to value (default) ‘larger’ : H1: mean larger than value ‘smaller’ : H1: mean smaller than value
- alpha
- Returns:¶
- lower, upper
floats
orndarrays
lower and upper bound of confidence interval
- lower, upper
Notes
In a previous version, statsmodels 0.4, alpha was the confidence level, e.g. 0.95
Last update:
Oct 29, 2024