Answer:
d. It is the process of generating random values for uncertain inputs in a model and computing the output variables of interest.
Step-by-step explanation:
Monte Carlo simulation is the process of generating random values for uncertain inputs in a model and computing the output variables of interest. It is a type of computational algorithm which is used to predict the probability of various outcomes based on repeated random samples or variables. It is used for better decisions making by providing information about the impact of a risk and for forecasting models.