Exam 13: Decision Analysis

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EVPI equals the expected regret associated with the minimax decision.

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For the payoff table below, the decision maker will use P(s1) = .15, P(s2) = .5, and P(s3) = .35. State of Nature Decision -5,000 1,000 10,000 -15,000 -2,000 40,000 What alternative would be chosen according to expected value?

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EV(d1) = 3250 and EV(d2) = 10750, so choose d2.

Square nodes in a decision tree indicate that a decision must be made.

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States of nature should be defined so that one and only one will actually occur.

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How can a good decision maker "improve" luck?

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States of nature

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If P(high) = .3, P(low) = .7, P(favorable | high) = .9, and P(unfavorable | low) = .6, then P(favorable) =

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A decision tree

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Risk analysis helps the decision maker recognize the difference between the expected value of a decision alternative and the payoff that may actually occur.

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The table shows both prospective profits and losses for a company, depending on what decision is made and what state of nature occurs. Use the information to determine what the company should do. State of Nature Decision 30 80 -30 100 30 -40 -80 -10 120 20 20 20 a.if an optimistic strategy is used. b.if a conservative strategy is used. c.if minimax regret is the strategy.

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For a maximization problem, the conservative approach is often referred to as the

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A decision maker who is considered to be a risk taker is faced with this set of probabilities and payoffs State of Nature Decision 5 10 20 -25 0 50 -50 -10 80 Probability .30 .35 .35 Rank the decision alternatives on the basis of expected value.

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Making a good decision

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The expected value of an alternative can never be negative.

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Sensitivity analysis considers

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If p is the probability of Event 1 and (1-p) is the probability of Event 2, for what values of p would you choose A? B? C? Values in the table are payoffs. Choice/Event Event 1 Event 2 A 0 20 B 4 16 C 8 0

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The options from which a decision maker chooses a course of action are

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Expected value is the sum of the weighted payoff possibilities at a circular node in a decision tree.

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Explain why the decision maker might feel uncomfortable with the expected value approach, and decide to use a non-probabilistic approach even when probabilities are available.

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Circular nodes in a decision tree indicate that it would be incorrect to choose a path from the node.

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