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