Exam 4: Modeling Decision Processes

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Probability can be expressed as:

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Which of the following is not a technique for forecasting probability?

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Which type of forecasting presents the decision maker with a choice between participating in one or two lottery-type games?

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The priorities of a decision maker are affected by the scope of the problem.

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Identify the steps in creating a simulation model.

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Rather than a single probability estimation we might benefit from an estimation of the worst-case scenario and the best-case scenario. Properly constructed, we can say that the actual probability estimate lies somewhere between these two values. This range of values is referred to as a ________.

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In an influence diagram, the three components of a problem structure are represented by specific shapes and are combined and connected to represent the problem being modeled.

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In a deterministic model, a variable can have multiple values and must therefore be described by a probability function.

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Which of the following affects the selection of a forecasting technique?

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Which of the following is not a decision tree rule?

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Which of the following is not a tool for modeling the structure of a problem?

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A designer must never revise a decision made at one point in the process to account for a change made in another.

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Which of the following affects the selection of a forecasting technique?

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Which of the following is not part of the design of a problem structure?

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In a stochastic model, no variable can take on more than one value at a given time.

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A method used to determine the degree to which the alteration of an underlying assumption has a material effect on the results obtained from a model is known as:

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Which of the following is true of Howard's Test of Clarity?

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According to Howard's test of clarity, the events of every model should be fully determined without interpretation.

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Although the solution may be obvious, problem structures always have a clear beginning.

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Which of the following is not a suitable technique for eliciting numerical subjective probability estimations that can then be combined with other estimates using the laws of probability?

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