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A Note on Confidence Intervals for Proportions in Finite Populations
Authors:John P. Buonaccorsi
Affiliation:Department of Mathematics and Statistics , University of Massachusetts , Amherst , Massachusetts , 01003 , USA
Abstract:An exact confidence interval for the number or proportion of successes in a finite population is developed using the standard technique of inverting a family of tests. The resulting procedure is compared with two methods available in the sampling literature and is shown to be equivalent to one of the methods and superior to the other method.
Keywords:Family of tests  Hypergeometric distribution  Sampling
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