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A Look at the Rule of Three
B. D. Jovanovic and P. S. Levy
The American Statistician
Vol. 51, No. 2 (May, 1997), pp. 137-139
Stable URL: http://www.jstor.org/stable/2685405
Page Count: 3
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The Rule of Three states that 3/n is an upper 95% confidence bound for binomial probability p when in n independent trials no events occur. We discuss the derivation of this rule, its validity in small samples, and propose some alternatives. The material may serve well as a thought-provoking introduction to a clinical trials, statistical consulting, or a categorical data class, and is interesting on its own merit.
The American Statistician © 1997 American Statistical Association