I would not "require" Cpk analysis, and none of the standards I am aware of have any requirements for Cpk or a particular type of data (variables/attributes). Applying Cpk or statistical tolerance limits would be a sensible way to state your specifications, at least for those that are based on variables data. Caution: Be careful not to automatically assume your data is normally distributed.
Some of the tests (like bubble leakage and dye penetration, for example), are attribute (pass/fail) tests so variables analysis is not possible. For attribute data you could have specifications for confidence/reliability such as 95/99, 95/95, 95/90 which would require no failures for sample sizes of 59, 29 and 22, respectively (binomial distribution stats).
Some of the tests (like bubble leakage and dye penetration, for example), are attribute (pass/fail) tests so variables analysis is not possible. For attribute data you could have specifications for confidence/reliability such as 95/99, 95/95, 95/90 which would require no failures for sample sizes of 59, 29 and 22, respectively (binomial distribution stats).
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