M
I have a product that runs ~900 pcs per lot.
I have been running a destructive pressure test using a sample of 53 pcs per lot to try and show process capability. Sample size of 53 was derived from an 0.65 AQL sample c=0 as my initial sample size.
The mean of my sample test have been running ~1800 psi with a std dev of ~100 psi. I am trying to show that my total distribution is above a lower test limit of 1200 psi. (+/-6 sigma process). If 1 part of the sample tests below 1200 psi the lot is put on hold.
I am concerned about low side outliers. 450 psi is my customer’s high side failure threshold.
My amateur statistician is analyzing my work using a “T” Test. He states I can reduce my sample size to 7 pcs. Calculate the mean of the sample. If the sample mean of the 7 pcs is above 1500 psi the lot is OK.
I do not understand this application of the T Test. Is this valid and is the sample size of 7 correct?
Thanks,
Magus
I have been running a destructive pressure test using a sample of 53 pcs per lot to try and show process capability. Sample size of 53 was derived from an 0.65 AQL sample c=0 as my initial sample size.
The mean of my sample test have been running ~1800 psi with a std dev of ~100 psi. I am trying to show that my total distribution is above a lower test limit of 1200 psi. (+/-6 sigma process). If 1 part of the sample tests below 1200 psi the lot is put on hold.
I am concerned about low side outliers. 450 psi is my customer’s high side failure threshold.
My amateur statistician is analyzing my work using a “T” Test. He states I can reduce my sample size to 7 pcs. Calculate the mean of the sample. If the sample mean of the 7 pcs is above 1500 psi the lot is OK.
I do not understand this application of the T Test. Is this valid and is the sample size of 7 correct?
Thanks,
Magus