for a lot I use some fixtures say 10-25 fixtures

for a lot I know # good pcs from lot, number of bad pcs, (lot size) as well as fixtures used HOWEVER I am not recording fixture to part rejected.

trying to find method to track this down for old data [Yes - I know I need to fix my data collection going foreword]

but if I have a lot of 10 and 2 were bad and I weight all 10 fixtures with a .20 POTENTIAL defect

then for a second lot of 15 with 6 defective I take those fixtures and weight them with a .40 potential defective

then after lots of lots 300+ I sum all the potential defective by a fixture and divide by number times fixture used

will this give me a fair good indication of the problem and not problem fixtures

If the distribution of the final proportion all the fixtures 100 fixture & 100 proportions (average potential defective) is normally distributed

this seems to be a good method, I ran a model and it was significant

so I think this would work

thought , comments, etc.

or if there is a standard or statistical test for this method I would appreciate the name so I can look it up

Thanks in advance,