The HR department is trying to fill a vacantposition for a job with a small talent pool. Validapplications arrive every week or so, and theapplicants all seem to bring different levels ofexpertise. For each applicant, the HR managergathers information by trying to verify variousclaims on resumes, but some doubt about fitalways lingers when a decision to hire or not isto be made. What are the Type I and II decision error costs? Which decision error is more likely tobe discovered by the CEO? How does this affectthe HR manager’s hiring decisions?

The HR department is trying to fill a vacantposition for a job with a small talent pool. Validapplications arrive every week or so, and theapplicants all seem to bring different levels ofexpertise. For each applicant, the HR managergathers information by trying to verify variousclaims on resumes, but some doubt about fitalways lingers when a decision to hire or not isto be made. What are the Type I and II decision error costs? Which decision error is more likely tobe discovered by the CEO? How does this affectthe HR manager’s hiring decisions?

Managerial Economics: A Problem Solving Approach

5th Edition

ISBN:9781337106665

Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Publisher:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Chapter17: Making Decisions With Uncertainty

Section: Chapter Questions

Problem 17.6IP

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Q-3 Are the following statement true of false ? You need to provide an aurgument for and against it why it is so.
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A computer reseller needs to decide how many laptops to order next month. The lowest end laptop costs $220 and the retailer can sell these for $300. However, the laptop manufacturer already announced that they are coming out with a new model in a couple of months. Any laptops that will not be sold by the end of next month will have to be heavily discounted at half-price. The reseller also needs to consider that every time he fails to fulfill a laptop order, he stands to lose $25 for every unit. Based on the past months’ sales, the reseller estimates the demand probabilities for sales (S) as follows: P(0 units) = 0.3; P(1 units) = 0.4; P(2 units) = 0.2; P(3 units) =0.1. The reseller thinks it’s a good idea to conduct a survey on whether or not his customers are going to buy laptops and how many. The survey results will either be Yes (Y), No (N) or Don’t Know (DK). The probability estimates of the results based on the demand for number of units are: P(Y|S = 0 units) = 0.1 P(Y|S = 1…
A computer reseller needs to decide how many laptops to order next month. The lowest end laptop costs $220 and the retailer can sell these for $300. However, the laptop manufacturer already announced that they are coming out with a new model in a couple of months. Any laptops that will not be sold by the end of next month will have to be heavily discounted at half-price. The reseller also needs to consider that every time he fails to fulfill a laptop order, he stands to lose $25 for every unit. Based on the past months’ sales, the reseller estimates the demand probabilities for sales (S) as follows: P(0 units) = 0.3; P(1 units) = 0.4; P(2 units) = 0.2; P(3 units) =0.1. The reseller thinks it’s a good idea to conduct a survey on whether or not his customers are going to buy laptops and how many. The survey results will either be Yes (Y), No (N), or Don’t Know (DK). The probability estimates of the results based on the demand for the number of units are: P(Y|S = 0 units) = 0.1…
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