Monte Carlo simulation needs thousands or millions of repeated random draws because a single random pick is not enough. Repeating the random selection many times and storing all the selected values allows us to use those stored results to approximately estimate the distribution around the time to complete both reports.
Conditions: The random selection process is repeated many times.; The selected values are stored.
Monte Carlo simulation needs thousands or millions of repeated random draws because a single random pick is not enough. Repeating the random selection many times and storing all the selected values allows us to use those stored results to approximately estimate the distribution around the time to complete both reports.
Conditions: The random selection process is repeated many times.; The selected values are stored.