The result of conducting a large number of simulation trials is that it provides what?

• A. It reduces data accuracy
• B. It makes the model slower
• C. It yields unstable predictions
• D. It provides enough data to predict how the real system will operate

Answer: (D)

The main idea here is that running a large number of simulation trials builds up a meaningful picture of how the system behaves under uncertainty. Each trial samples the random inputs, so together they create a distribution of possible outcomes. As you increase the number of trials, this distribution converges toward the real system’s behavior, giving you reliable estimates of average performance, risks, and the probabilities of different results. In short, you gain enough data to predict how the real system will operate.

The other statements aren’t what you get from many trials: more trials don’t reduce data accuracy—quite the opposite, they improve accuracy by reducing sampling error. They don’t inherently make the model slower in principle (though more trials take longer to run), and they don’t make predictions unstable; more trials actually stabilize estimates as you collect more information.