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Listening Quiz: Thảo Luận về Định Lượng Sự Không Chắc Chắn trong Mô Phỏng Monte Carlo – Medium Level
Th4 9, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà vật lý học (English for Physicist)
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1.
What are Mark and Emma mainly discussing?
How to choose between different programming languages
How to interpret uncertainty in Monte Carlo simulation results
How to build a simulation model
How to present results in a meeting
Explanation:
They discuss confidence intervals, standard deviation, and the effect of running more simulations, all of which are about understanding uncertainty in Monte Carlo simulation results.
2.
According to Mark, what do confidence intervals show?
How fast the computer is running
A range where results likely fall
The exact value of every simulation run
The number of errors in the model
Explanation:
Mark says confidence intervals show a range where results likely fall.
3.
What does standard deviation measure in this conversation?
How long the simulation takes
How many confidence intervals are needed
How certain Emma feels
How spread out the results are
Explanation:
Mark explains that standard deviation measures how spread out the results are.
4.
What can be inferred about running more simulations?
It always removes all uncertainty
It has no effect on the results
It makes confidence intervals unnecessary
It usually makes the estimates better
Explanation:
Mark says more runs usually give better estimates, so it can be inferred that running more simulations improves the quality of the results.
5.
Why does Emma ask whether there is any risk in using too few runs?
She wants to calculate standard deviation by hand
She is trying to stop the simulation entirely
She already knows the results are correct
She wants to learn whether the results could be unreliable
Explanation:
Mark says too few runs can give misleading results, so Emma’s question shows concern about the reliability of the simulation output.
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