OPTIMUM SAMPLING PLANS FOR GRADING BINOMIAL POPULATIONS
ARMY BALLISTIC RESEARCH LAB ABERDEEN PROVING GROUND MD
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This report gives a generalized solution and supporting theoretical development for minimizing the risks of incorrectly grading binomial populations on the basis of attributes of small samples drawn from larger populations. Integration techniques are employed in this solution and a transformation is derived so that the evaluation of the integrals is accomplished using cumulative binomial probabilities. Tabulated solutions are presented for lot classification into 2, 3, or 4 grades for various sample sizes and allowable percent defectives ranging from 0.01 to 0.50.
- Statistics and Probability
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