Exam 3: Decision Analysis
Exam 1: Introduction to Quantitative Analysis63 Questions
Exam 2: Probability Concepts and Applications145 Questions
Exam 3: Decision Analysis119 Questions
Exam 4: Regression Models120 Questions
Exam 5: Forecasting101 Questions
Exam 6: Inventory Control Models113 Questions
Exam 7: Linear Programming Models: Graphical and Computer Methods100 Questions
Exam 8: Linear Programming Applications96 Questions
Exam 9: Transportation and Assignment Models80 Questions
Exam 10: Integer Programming, Goal Programming, and Nonlinear Programming88 Questions
Exam 11: Network Models86 Questions
Exam 12: Project Management123 Questions
Exam 13: Waiting Lines and Queuing Theory Models133 Questions
Exam 14: Simulation Modeling68 Questions
Exam 15: Markov Analysis78 Questions
Exam 16: Statistical Quality Control87 Questions
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It is sometimes said that "Those who gamble the most are the ones who can least afford to lose." These people gamble because
(Multiple Choice)
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The following is an opportunity loss table.
What decision should be made based on the minimax regret criterion?

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A market research survey is available for $10,000. Using a decision tree analysis, it is found that the expected monetary value with the survey is $75,000. The expected monetary value with no survey is $62,000. What is the expected value of sample information?
(Multiple Choice)
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The optimistic decision criterion is the criterion of ________.
(Multiple Choice)
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List the five major decision criteria used when making decisions under uncertainty.
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The nodes on decision trees represent either decisions or states of nature.
(True/False)
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The following is a payoff table giving profits for various situations.
What decision would an optimist make?

(Multiple Choice)
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The difference in decision making under risk and decision making under uncertainty is that under risk, we think we know the probabilities of the states of nature, while under uncertainty we do not know the probabilities of the states of nature.
(True/False)
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Mark M. Upp has just been fired as the university bookstore manager for setting prices too low (only 20 percent above suggested retail). He is considering opening a competing bookstore near the campus, and he has begun an analysis of the situation. There are two possible sites under consideration. One is relatively small, while the other is large. If he opens at Site 1 and demand is good, he will generate a profit of $50,000. If demand is low, he will lose $10,000. If he opens at Site 2 and demand is high, he will generate a profit of $80,000, but he will lose $30,000 if demand is low. He also has the option of not opening either. He believes that there is a 50 percent chance that demand will be high. Mark can purchase a market research study. The probability of a good demand given a favorable study is 0.8. The probability of a good demand given an unfavorable study is 0.1. There is a 60 percent chance that the study will be favorable. Should Mark use the study? Why? What is the maximum amount Mark should be willing to pay for this study? What is the maximum amount he should pay for any study?
(Essay)
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Expected monetary value (EMV) is the average or expected monetary outcome of a decision if it can be repeated a large number of times.
(True/False)
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The decision theory processes of maximizing expected monetary value (EMV) and minimizing expected opportunity loss (EOL) should lead us to choose the same alternatives.
(True/False)
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David N. Goliath is planning to open a sporting goods store. However, the initial investment is $120,000. He currently has this money in a certificate of deposit earning 10 percent. He may leave it there if he decides not to open the store. If he opens the store and it is successful he will generate a profit of $50,000. If it is not successful, he will lose $90,000. What would the probability of a successful store have to be for David to prefer this to investing in a CD?
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In Bayesian analysis, conditional probabilities are also known as which of the following?
(Multiple Choice)
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