Many firms utilize sampling plans to control the quality of manufactured items ready for shipment. To illustrate
Question:
a. Find the probability of accepting a lot as a function of the actual fraction of defective chips. In particular, let the actual fraction of defective chips in a given lot equal any of 0.02, 0.04, 0.06, 0.08, 0.10, 0.12, 0.14, 0.16, 0.18. Then compute the lot acceptance probability for each of these lot defective fractions.
b. Construct a graph showing the probability of lot acceptance for each of the lot defective fractions, and interpret your graph.
c. Repeat parts a and b under a revised sampling plan that calls for accepting a given lot if the number of defective chips found in the random sample of 50 chips is five or fewer. Summarize any notable differences between the two graphs.
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Related Book For
Data Analysis And Decision Making
ISBN: 415
4th Edition
Authors: Christian Albright, Wayne Winston, Christopher Zappe
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