What does the Central Limit Theorem imply about Monte Carlo results as the number of simulations increases?

• A. The sample mean converges to the true mean as simulations increase.
• B. The distribution of outcomes becomes normal regardless of the underlying distribution.
• C. The maximum value of the simulated outcomes increases without bound.
• D. The median becomes an unbiased estimator of the mean.

Answer: (A)