You are the program manager for your organization and you are trying to determine the possible outcomes of a risk event. You're analyzing the risk event's worst case scenario, most likely scenario, an

Monte Carlo simulation uses three-point probability distributions (optimistic, most likely, pessimistic) and runs thousands of iterations to produce a probabilistic range of outcomes for cost, schedule, and scope - exactly matching the described approach of modeling worst case, most likely, and optimistic scenarios.

Sensitivity analysis measures the relative impact of individual risk variables on an outcome (often shown as a tornado diagram) and does not involve running iterative simulations across scenarios.

Force field analysis is a change management technique that identifies driving and restraining forces for a change initiative, not a risk probability simulation method.

Decision tree analysis uses branching probability paths to calculate expected monetary value (EMV) at discrete decision points, not iterative simulation of scenario distributions.