stats.proportion.samplesize_confint_proportion()

statsmodels.stats.proportion.samplesize_confint_proportion

statsmodels.stats.proportion.samplesize_confint_proportion(proportion, half_length, alpha=0.05, method='normal') [source]

find sample size to get desired confidence interval length

Parameters:	proportion : float in (0, 1) proportion or quantile half_length : float in (0, 1) desired half length of the confidence interval alpha : float in (0, 1) significance level, default 0.05, coverage of the two-sided interval is (approximately) 1 - alpha method : string in [‘normal’] method to use for confidence interval, currently only normal approximation
Returns:	n : float sample size to get the desired half length of the confidence interval

Notes

this is mainly to store the formula. possible application: number of replications in bootstrap samples