The statement is True, Monte Carlo simulation generate many outcomes that are organized into a frequency distribution.
Monte Carlo simulation
- When the possibility of random variables is available, a Monte Carlo simulation is a model that is used to forecast the likelihood of a variety of events. Monte Carlo simulations assist in illuminating how risk and uncertainty affect forecasting and prediction models
- The potential accuracy of a Monte Carlo simulation is roughly 4%, which is still higher than the 1% accuracy stated by SAMPLE, even for a random function with a 3 error factor.
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You didn't ask a question. That's just a statement.
P = 2L + 2w
Subtract 2L
from each side: P - 2L = 2w
Divide each side
by 2 : (P - 2L) / 2 = w
You could also write it as (P/2 - L) = w
Both answers are the same.
Answer:
Step-by-step explanation:
$24.5
Step-by-step explanation:
the problem from the given x and y would be
6-2(3)
