Re: quality control

I see there are several posts concerning this. There is a specific
equation that applies here, and we can use it to calculate the
appropriate sample size. No muss, no fuss, no rain dances about
"priors", etc.

Sadly, as several have noted, the answer is going to be unpleasant.
You'll need a very large sample size.

I'll post that equation and definition of terms later today. OMU




Frank wrote:
If I know a product fails .01% of the time and I have 1500 items I'm
running through a process. How many items do I need to check with,
say, 99% confidence that all the items are built correctly.

I'm thinking either Poison or Geometic distribution is applicable, but
what would the formula be. Also, what key words should I be searching
for. I know I've come across this problem many years ago but stuck on
finding where.

Thanks,
F

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