The Monte Carlo technique allows you to:

Question

BlackTom AI · Accepted Answer

The question asks about the Monte Carlo technique and what it allows you to do.
First, note that no answer options were provided in the data beyond the single correct-sounding statement, so we cannot analyze multiple choices against each other. Nevertheless, we can explain the core idea.
The Monte Carlo method involves repeatedly sampling probabilistic inputs to a model or system and running simulations to observe the resulting outputs. By performing a large number of such trials, you build up an empirical distribution of the modelled system performance, capturing the variability and uncertainty inherent in the inputs. This approach is commonly used for estimating probabilities, statistics (like means and variances), and confidence intervals when analytic solutions are intractable.
Why this statement is correct: the described process—generating probabilistic inputs and modeling the system’s response to those inputs to build a distribution of performance results—directly aligns with the standard Monte Carlo workflow and its purpose in uncertainty quantification.
Why there are no other options to compare: since the option list is missing, we cannot discuss which alternatives might be plausible or incorrect. In a typical multiple-choice setup, other choices might suggest deterministic results, single-point estimates, or inappropriate interpretations of randomness, all of which would be inaccurate descriptions of Monte Carlo methods.
If you provide the full set of answer choices, I can compare each one, explain why it is correct or incorrect, and connect each to the underlying Monte Carlo principles.

ENEN20002_2025_SM1 Quiz on Lecture 3 material

The Monte Carlo technique allows you to:

查看解析

登录即可查看完整答案

类似问题

Why does Monte Carlo simulation generate synthetic scenarios rather than relying solely on historical data?

Simulation: A trial consists of a single infant choosing a toy. How many trials must we simulate?

I simulate tomorrow’s return from the distribution 𝑁 𝑜 𝑟 𝑚 𝑎 𝑙 ( 0 , ( 1 % ) 2 ) 1000 times. All 1000 simulated returns are positive. What do you think?

I simulate tomorrow’s return from the distribution 𝑁 𝑜 𝑟 𝑚 𝑎 𝑙 ( 0 , ( 1 % ) 2 ) 1000 times. All 1000 simulated returns are positive. What do you think?

What is the simulated demand for each of the 3 days based on the random numbers [35, 88, 10]?

To conduct a Monte Carlo Simulation you need to be able to write down the formula for the distribution of the outcomes you are most interest in.

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单