Quantitative Risk Analysis
Numerical analysis of risk effects on project objectives.
This topic explores quantitative techniques such as Monte Carlo simulations, decision tree analysis, and sensitivity analysis to numerically estimate the effects of risks on project outcomes.
5 minutes
5 Questions
Concepts covered: Monte Carlo Simulation, Expected Monetary Value (EMV) Analysis, Decision Tree Analysis, Sensitivity Analysis, Influence Diagrams, Fault Tree Analysis, Probability Distributions, Program Evaluation and Review Technique (PERT), Correlation and Dependency Modeling
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115 questions (total)