A variables sampling plan (VSP) for defectives is required for a process with two-sided spec limits USL/LSL = 75 ±5. The VSP must meet the following conditions ■Accept 95% of 0.5% defective lots (Hint: What are the AQL and alpha values?) ■Reject 90% of 2% defective lots (Hint: What are the RQL and beta values?) a. Design the VSP assuming that the population standard deviation is known. (Assume σ = 1) b. Design the VSP assuming that the population standard deviation is unknown. c. Should you accept or reject a lot in the o unknown case if the sample delivers x = 72.0 and s = 1.5? (You don't have the sample data to use the MINITAB menu. You will have to do the calculation by hand.)
A variables sampling plan (VSP) for defectives is required for a process with two-sided spec limits USL/LSL = 75 ±5. The VSP must meet the following conditions ■Accept 95% of 0.5% defective lots (Hint: What are the AQL and alpha values?) ■Reject 90% of 2% defective lots (Hint: What are the RQL and beta values?) a. Design the VSP assuming that the population standard deviation is known. (Assume σ = 1) b. Design the VSP assuming that the population standard deviation is unknown. c. Should you accept or reject a lot in the o unknown case if the sample delivers x = 72.0 and s = 1.5? (You don't have the sample data to use the MINITAB menu. You will have to do the calculation by hand.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A variables sampling plan (VSP) for defectives is required for a process with two-sided spec limits
USL/LSL = 75 ±5. The VSP must meet the following conditions
■Accept 95% of 0.5% defective lots (Hint: What are the AQL and alpha values?)
■Reject 90% of 2% defective lots (Hint: What are the RQL and beta values?)
a. Design the VSP assuming that the population standard deviation is known. (Assume σ = 1)
b. Design the VSP assuming that the population standard deviation is unknown.
c. Should you accept or reject a lot in the o unknown case if the sample delivers x = 72.0 and
s = 1.5? (You don't have the sample data to use the MINITAB menu. You will have to do the
calculation by hand.)
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