Exam 13: Decision Analysis

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The minimum expected opportunity loss provides the best decision, regardless of whether the decision analysis involves minimization or maximization.

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Sample information with an efficiency rating of 100% is perfect information.

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The expected value approach is more appropriate for a one-time decision than a repetitive decision.

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

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After all probabilities and payoffs are placed on a decision tree, the decision maker calculates expected values at state of nature nodes and makes selections at decision nodes.

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Fold back this decision tree. Clearly state the decision strategy you determine. Fold back this decision tree. Clearly state the decision strategy you determine.

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Decision tree probabilities refer to

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EVPI equals the expected regret associated with the minimax decision.

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Which of the methods for decision making best protects the decision maker from undesirable results?

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For a minimization problem, the optimistic approach is often referred to as the

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If sample information is obtained, the result of the sample information will be either positive or negative. No matter which result occurs, the choice to select option A or option B exists. And no matter which option is chosen, the eventual outcome will be good or poor. Complete the table. If sample information is obtained, the result of the sample information will be either positive or negative. No matter which result occurs, the choice to select option A or option B exists. And no matter which option is chosen, the eventual outcome will be good or poor. Complete the table.

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

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The efficiency of sample information is

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States of nature

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

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A decision strategy is a sequence of decisions and chance outcomes, where the decisions chosen depend on the yet to be determined outcomes of chance events.

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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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A decision tree

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In an influence diagram, decision nodes are represented by

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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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