Explain decision trees and expected monetary value
A decision tree is a diagramming analysis technique used to help select the best course of action in situations in which future outcomes are uncertain. A common application of decision tree analysis involves calculating expected monetary value. Expected monetary value (EMV) is the product of a risk event probability and the risk event's monetary value. To create a decision tree, and to calculate expected monetary value specifically, you must estimate the probabilities, or chances, of certain events occurring. Probabilities are normally determined based on expert judgment.
To calculate the expected monetary value (EMV) for each project, multiply the probability by the outcome value for each potential outcome for each project and sum the results. Because the EMV provides an estimate for the total dollar value of a decision, you want to have a positive number; the higher the EMV, the better. Using EMV helps account for all possible outcomes and their probabilities of occurrence, thereby reducing the tendency to pursue overly aggressive or conservative risk strategies.
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