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:
The perfect -square trinomial
(9y+7)²
Step-by-step explanation:
<u><em>Explanation:-</em></u>
Given polynomial equation
81 y² + 126 y +49
⇒ 9² y² + 2(9)(7)y + 7²
⇒ (9y)² + 2(9)(7)y +7²
we will use formula
(a+b)² = a² + 2ab +b²
⇒ (9y+7)²
<u><em>Final answer:-</em></u>
The perfect -square trinomial
(9y+7)²
Answer:
c
Step-by-step explanation:
