Reginaldw
15th April 2009, 07:59 PM
I determine my producer's risk using a traditional sampling analysis: choose sample size, max number of defects found in sample and compute the risk of accepting a lot for a given quality % by using a binomial distribution function ('BINOMDIST' function in Excel).
My question: how can I compute the maximum probability of accepting a lot that has more than x% bad products given my sampling plan (sample size + # of defects found)?
I want to be able to say: "We sample 5% of the items and reject them if we find more than 1 defect. That way, there's a maximum 8% probability that the overall lot has more than 3% defects."
(all numbers in my statement are fictive)
My question: how can I compute the maximum probability of accepting a lot that has more than x% bad products given my sampling plan (sample size + # of defects found)?
I want to be able to say: "We sample 5% of the items and reject them if we find more than 1 defect. That way, there's a maximum 8% probability that the overall lot has more than 3% defects."
(all numbers in my statement are fictive)
