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:
112
Step-by-step explanation:
32*2+29*2=112
Answer:
C. Distribution 3
Step-by-step explanation:
The more spread out a data distribution is, the greater its standard deviation.
Answer: 16t^6−40t^3+25 is the answer
first lets set the equation as a binomial *remember 2 binomial= trinomial*
so its going to look something like..........
(4t^3-5) (4t^3-5)
now we do the foil method so 4t^3* 4t^3= 16t^6 (add exponents)
do the same for the other terms:
4t^3*-5= -20t^3
-5*4t^3= -20t^3
-5*-5= 25
now the whole equation is...
16t^6-20t^3-20t^3+25 (combine like terms like -20t^3 and -20t^3)
therefor the answer is... 16t^6-40t^3+25
