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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Answer:
you would - 1 to -7 and get -8 then divide -8 by -2 than it would be 4
Step-by-step explanation:
Step-by-step explanation:
3x + 2y = 9
- (3x + y = 6)
=> y = 3.
Therefore 3x + (3) = 6, 3x = 3, x = 1.
The solutions are x = 1 and y = 3.
Answer:
y = 23
Step-by-step explanation:
Assuming the equation not below is y = mx + b form...
m = 4
x = 3
b = 11
y = 4(3) + 11
y = 12+ 11
y = 23
Y=mx+b is slope intercept form...
m=slope
b=y-intercept
Answer- y=-9+5
