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 : str in ['normal']¶
method to use for confidence interval, currently only normal approximation
- Returns:¶
n – sample size to get the desired half length of the confidence interval
- Return type:¶
Notes
this is mainly to store the formula. possible application: number of replications in bootstrap samples