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A technique based on the noncentral t distribution for obtaining one-sided tolerance limits for a balanced one-way-anova random-effects model is developed. These limits are such that the probability is γ that at least a proportion p of the population consisting of very many specimens from very many batches exceeds the calculated lower limit. A few selected tables are given, and an example illustrates the use of the derived tolerance factors.
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