How should you validate Monte Carlo results (in terms of convergence and uncertainty)?

How should you validate Monte Carlo results (in terms of convergence and uncertainty)?

• A. Validate only the mean, ignoring the distribution shape.
• B. Compare results to a single point estimate from a different model.
• C. Validation is unnecessary if the model logic is sound.
• D. Check stability as sample size increases, compute standard error and confidence intervals, and ensure results converge within tolerance.

Answer: (D)