A production manager is interested in the mean weight of items turned out by a particular process.
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A production manager is interested in the mean weight of items turned out by a particular process. He feels that the weight is normally distributed with standard deviation 2, and his prior distribution for p is a normal distribution with mean 110 and variance .4. He randomly selects five items from the process and weighs them, with the following results: 108, 109, 107.4, 109.6, 112.
What is the production manager's posterior distribution?
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Related Book For 
Statistics Probability Inference And Decision
ISBN: 9780030778056
1st Edition
Authors: Robert L. Winkler, William L. Hays
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