N
nwillnow
Hey everyone. I'm currently trying to prove that a system I have in place is reliable to the severity level required and I'm in need of sampling plan information. I have a standard operation procedure which tells me that for 95% confidence and 95% reliability (1.0 AQL) that I need 59 samples for c=0, and 95 for c=1, but no information for c=2,3,4,...
All it tells me about the plan is that "The attribute data sample
sizes are based on the binomial distribution for the corresponding reliability and confidence level requirements." I've tried using Statgraphics and MiniTab to help calculate what the c=2 sample would be, but I can't figure out how.
Is this a common standard I'm looking at? My problem is that I'm working backwards. I'm trying to use pass/fail data I have collected over a number of weeks to show that the number of failures I'm seeing per week is acceptable, as opposed to structuring a validation around a sample size to test.
I've looked at the ANSI/ASQC Z1.4 standard, but that seems entirely different. Any suggestions?
All it tells me about the plan is that "The attribute data sample
sizes are based on the binomial distribution for the corresponding reliability and confidence level requirements." I've tried using Statgraphics and MiniTab to help calculate what the c=2 sample would be, but I can't figure out how.
Is this a common standard I'm looking at? My problem is that I'm working backwards. I'm trying to use pass/fail data I have collected over a number of weeks to show that the number of failures I'm seeing per week is acceptable, as opposed to structuring a validation around a sample size to test.
I've looked at the ANSI/ASQC Z1.4 standard, but that seems entirely different. Any suggestions?