Example 8.29 A manufacturing firm receives shipments of machine parts from two suppliers A and B. Currently, 65 per cent of parts are purchased from supplier A and the remaining from supplier B. The past record shows that 2 per cent of the parts supplied by A are found defective, whereas 5 per cent of the parts supplied by B are found defective. On a particular day the machine breaks down because a defective part is fitted to it. Given the information that the part was bad, using Bayes' theorem find the probability that it was supplied by supplier B.

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Example 8.29 A manufacturing firm receives shipments of machine parts from two suppliers A and B.
Currently, 65 per cent of parts are purchased from supplier A and the remaining from supplier B. The
past record shows that 2 per cent of the parts supplied by A are found defective, whereas 5 per cent of
the parts supplied by B are found defective. On a particular day the machine breaks down because a
defective part is fitted to it.
Given the information that the part was bad, using Bayes' theorem find the probability that it was
supplied by supplier B.
Transcribed Image Text:Example 8.29 A manufacturing firm receives shipments of machine parts from two suppliers A and B. Currently, 65 per cent of parts are purchased from supplier A and the remaining from supplier B. The past record shows that 2 per cent of the parts supplied by A are found defective, whereas 5 per cent of the parts supplied by B are found defective. On a particular day the machine breaks down because a defective part is fitted to it. Given the information that the part was bad, using Bayes' theorem find the probability that it was supplied by supplier B.
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