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Exact Confidence Limits for Proportions

A subroutine is presented to calculate exact confidence limits for the number of successes in a finite population, given a random sample drawn without replacement. The limits are calculated recursively from a series of hypergeometric probability distributions. The use of arbitrary starting values in each recursion eliminates the computation of initial probability values based on cumbersome factorial expressions.