A particular industrial product is shipped in lots of 20 items per lot. Testing to determine whether an item is defective is costly, and hence the manufac- turer samples his production rather than using a 100% inspection plan. A sampling plan constructed to minimize the number of defective shipped to customers calls for sampling 5 items from each lot and rejecting the lot if more than 1 defective is ob- served. It is believed that 10% of lots contains 3 defectives, 20% contains 2 defectives, 30% contains 1 defective and 40% contains no defectives. If a randomly accepted lot has one defective in the sample, what is the probability that the accepted lot still contains at least one defective?
A particular industrial product is shipped in lots of 20 items per lot. Testing to determine whether an item is defective is costly, and hence the manufac- turer samples his production rather than using a 100% inspection plan. A sampling plan constructed to minimize the number of defective shipped to customers calls for sampling 5 items from each lot and rejecting the lot if more than 1 defective is ob- served. It is believed that 10% of lots contains 3 defectives, 20% contains 2 defectives, 30% contains 1 defective and 40% contains no defectives. If a randomly accepted lot has one defective in the sample, what is the probability that the accepted lot still contains at least one defective?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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