statsmodels.stats.weightstats._zconfint_generic

statsmodels.stats.weightstats._zconfint_generic(mean, std_mean, alpha, alternative)[source]

generic normal-confint based on summary statistic

Parameters:
meanfloat or ndarray

Value, for example mean, of the first sample.

std_meanfloat or ndarray

Standard error of the difference value1 - value2

alphafloat

Significance level for the confidence interval, coverage is 1-alpha

alternativestr

The alternative hypothesis, H1, has to be one of the following

  • ‘two-sided’ : H1: value1 - value2 - diff not equal to 0.

  • ‘larger’ : H1: value1 - value2 - diff > 0

  • ‘smaller’ : H1: value1 - value2 - diff < 0

Returns:
lowerfloat or ndarray

Lower confidence limit. This is -inf for the one-sided alternative “smaller”.

upperfloat or ndarray

Upper confidence limit. This is inf for the one-sided alternative “larger”.


Last update: Jun 14, 2024