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When sampling from a dichotomous population with an assumed proportion p of events having a defined characteristic, the binomial distribution is the appropriate statistical model for accurately determining: type 1 error risk (symbol); type 2 error risk (symbol); sample size n based on specified (symbol) and (symbol) and assumptions about p; and critical c (minimum number of events to satisfy a specified [symbol]). Table 3 in [1] pre;sents such data for a limited number of sample sizes and p values. To extend the scope of Table 3 to most n and p, we present approximation formulas of substantial accuracy, based on the normal distribution as an approximation of the binomial.
Author (s): Burstein, Herman
Affiliation:
New College of Hofstra, Hempstead, NY
(See document for exact affiliation information.)
Publication Date:
1988-11-06
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Burstein, Herman; 1988; Approximation Formulas for Error Risk and Sample Size in ABX Testing [PDF]; New College of Hofstra, Hempstead, NY; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=5124
Burstein, Herman; Approximation Formulas for Error Risk and Sample Size in ABX Testing [PDF]; New College of Hofstra, Hempstead, NY; Paper ; 1988 Available: https://aes2.org/publications/elibrary-page/?id=5124