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1 8 . 1 8 A corporation is considering a new production process that, if efficient, will save the corporation $ 3 5 0 0

18.18 A corporation is considering a new production process that, if efficient, will save the corporation $350000 a year for the next 5 years. If it is not efficient, the amount of lost sales plus the expense of converting to the new process and then reconverting to the old will come to $925000. Determine the recommended decision under the a priori criterion if the company feels that the new process has an 80 percent chance of being efficient.
18.19 Determine the recommended decision under the a priori criterion for the process of Problem 18.16 if, in the past, the farmer has lost much of his harvest to frost one out of every 7 years.
18.20 Assume that prior to making a decision, the manufacturer described in Problem 18.17 pays $1000 for a credit rating report on the retailer. The report rates the retailer as a poor risk, but the manufacturer knows that the rating procedure is not totally reliable. The credit bureau concedes that it will rate an average risk as a poor risk 30 percent of the time, and it will rate a good risk as a poor risk 5 percent of the time. It will rate a poor risk correctly 90 percent of the time. Based on these data, determine the recommended decision for the manufacturer under the a posteriori criterion.
18.21 The corporation of Problem 18.18 has a third option available to it; namely, to integrate one stand-alone phase of the new process into its current process and test its efficiency before deciding whether to convert. The cost of testing the stand-alone phase is $125000, of which $75000 is recoverable if the new process is adopted. If the stand-alone phase is not efficient, then an additional $25000 in sales is lost during the test.
If the entire new process is efficient, then the stand-alone phase should operate efficiently with probability 0.99. If the entire new process is not efficient, the stand-alone phase could still operate efficiently, and the company estimates this would happen with probability 0.6. Construct a decision tree for the entire decision process and determine the recommended actions.
Please do 18.21 depending on 18.18
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