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Explain how to use the decision trees and Monte Carlo analysis for quantifying risk. Give an example of how you would use each technique on an IT project.

User Ruchika
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Answer:

The answer is below

Step-by-step explanation:

Decision Tree Analysis is a form or type of quantitative risk assessment tool and techniques that involves a diagram that indicates the significances of choosing one or other alternatives.

In other words, the purpose of the tool is to assist you to select between several courses of action.

For example, lines are drawn towards the right for each possible solution, and then the solution is written along the line. Then evaluation of each alternative can be easily considered.

On the other hand, Monte Carlo Analysis is also a form or type of quantitative risk assessment tools and techniques that utilizes optimistic, most probable, and cynical estimates to infer the total project cost and project completion dates.

For example, an estimate of the probability of completing a project at a cost of $100M can be carried out using Monte Carlo Analysis

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User Kevin Goff
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