Let say I do an experiment were I get a pass or fail result. I want to know how much single trials (sample size) I should do to get a certain confidence level?
So if the answer that I’m looking for is for example 300 units I got to test, I will test these 300 units and be sure at a confidence level of 95% that my process won’t have a failure again.
I started with the poisson law, which could give me the probability that less than 1 fail will happen in the future, but how does the sample size effects the results?
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