explain how to use decision trees and monte carlo analysis for quantifying risk. give an example of how you could use each technique on an information technology project.

Respuesta :

Using a graphic to show the implications of selecting one or more options, decision tree analysis is a sort of quantitative risk assessment tool and technique.

What exactly is decision tree analysis?

A decision tree is a flowchart that begins with one basic idea and then branches out dependent on the outcomes of your choices. The model is known as a "decision tree" because it resembles a tree with branches.

What is a Monte Carlo analysis?

Monte Carlo methods, also known as Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to get numerical results. The basic idea is to employ randomness to solve problems that are deterministic in theory.

They are frequently utilized in physical and mathematical problems and are especially beneficial when other approaches are difficult or impossible to use. Monte Carlo methods are commonly employed in three issue classes: optimization, numerical integration, and generating drawings from a probability distribution.

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