Abstract
A modified sequential analysis is described as a means of testing the hypothesis of no change in product failure rates when the incoming sample is stratified into a simple dichotomy such that conditions which may affect the probability of product failure differ between the two strata. The effect of applying the classical wald sequential analysis which ignores the concomitant information on the dichotomy on Type I(α) and Type II (β) error frequencies and average sample size is studied for a given set of parameters by means of computer simulation. The modified test is shown to maintain the desired α and β levels and a stable mean sample size even when the incoming sample is form a population whose composition differs from past experience. The classical tests actual α and β levels and its average sample size are shown to be dependent on the composition of the incoming sample, which hypothesis is true, and when or not a correct decision is made.
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