What is the Monte Carlo analysis used for in risk management?

• A. A qualitative risk rating.
• B. A quantitative risk analysis technique that uses simulation to assess the impact of uncertainty.
• C. A method to calculate critical path.
• D. A way to assign resources to activities.

Answer: (B)

Monte Carlo analysis uses a quantitative, simulation-based approach to understand how uncertainty in inputs affects risk outcomes. It runs many trials by randomly drawing values from probability distributions assigned to uncertain factors—like costs, durations, or resource availability. The result is a distribution of possible project outcomes, so you can estimate the likelihood of finishing on time or under budget, as well as expected values and confidence intervals, rather than relying on a single point estimate. This is different from qualitative risk ratings, which categorize risks without numbers, and from methods focused on calculating the critical path or assigning resources, which are more deterministic or operational. In practice, it helps managers make informed decisions under uncertainty.