The given statement randomness is incorporated into the simulation of a single event and then many iterations of the simulation are performed to produce a sampling distribution representative of the population distribution is true.
In simulation studies, randomness is often incorporated into the simulation of individual events to mimic the inherent variability in real-world processes.
By simulating a single event with random elements, and then repeating the simulation many times (iterations), one can observe the overall distribution of outcomes.
This process helps in creating a sampling distribution that is representative of the population distribution, allowing for statistical analysis and inference.
The randomness in each simulation iteration is intended to capture the uncertainty and variability present in real-world scenarios, and by aggregating the results over many iterations, one can make statistical inferences about the population being simulated.