1|Page
ISYE 6644 FINAL EXAM VERSION 1 SIMULATION
EXAM NEWEST 2026 COMPLETE QUESTIONS AND
100%CORRECT ANSWERS (VERIFIED AND GRADED
A+||BRAND NEW!!!
Which of the following scenarios might be well-suited for a
steady-state analysis? - ANSWER-Simulate an assembly
line working 24/7
A Markov chain simulated until the transition probabilities
appear to converge
Which of the following is useful for analyzing steady-state
simulation output? - ANSWER-The method of batch
means
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Go to the table in the notes and pick off the entry for k=3,
P^⋆=0.90, and θ^⋆=1.4.
Which of the following parameters can you get confidence
intervals for?
Means
Variances
Quantiles
Differences between the means of two systems -
ANSWER-All of the above
If we have an iid normal sample of observations, X1,
X2,...Xn, what probability distribution is most-commonly
,3|Page
used to obtain cofidence intervals for the mean? -
ANSWER-t
TRUE or FALSE? The paired CI for the differences in two
means is designed to work especially well if all of the
observations from the first population are completely
independent of all of the observations from the second
population. - ANSWER-FALSE. {In fact, it's easier to
distinguish between the two means if Xi is positively
correlated with Yi. Think about my parallel parking
example in the class notes.}
TRUE or FALSE? You can use a version of independent
replications to obtain confidence intervals for the
, 4|Page
difference in the means from two simulation models. -
ANSWER-TRUE
TRUE or FALSE? The common random numbers
technique intentionally induces positive correlation
between two systems - much like a paired-𝑡confidence
interval. - ANSWER-TRUE
CRN depends on someone's ability to manipulate the
underlying pseudo-random numbers - e.g., use the same
arrival times when simulating two competing simulated
systems. So who ultimately controls those PRNs?? -
ANSWER-You do - you are powerful!
ISYE 6644 FINAL EXAM VERSION 1 SIMULATION
EXAM NEWEST 2026 COMPLETE QUESTIONS AND
100%CORRECT ANSWERS (VERIFIED AND GRADED
A+||BRAND NEW!!!
Which of the following scenarios might be well-suited for a
steady-state analysis? - ANSWER-Simulate an assembly
line working 24/7
A Markov chain simulated until the transition probabilities
appear to converge
Which of the following is useful for analyzing steady-state
simulation output? - ANSWER-The method of batch
means
,2|Page
Go to the table in the notes and pick off the entry for k=3,
P^⋆=0.90, and θ^⋆=1.4.
Which of the following parameters can you get confidence
intervals for?
Means
Variances
Quantiles
Differences between the means of two systems -
ANSWER-All of the above
If we have an iid normal sample of observations, X1,
X2,...Xn, what probability distribution is most-commonly
,3|Page
used to obtain cofidence intervals for the mean? -
ANSWER-t
TRUE or FALSE? The paired CI for the differences in two
means is designed to work especially well if all of the
observations from the first population are completely
independent of all of the observations from the second
population. - ANSWER-FALSE. {In fact, it's easier to
distinguish between the two means if Xi is positively
correlated with Yi. Think about my parallel parking
example in the class notes.}
TRUE or FALSE? You can use a version of independent
replications to obtain confidence intervals for the
, 4|Page
difference in the means from two simulation models. -
ANSWER-TRUE
TRUE or FALSE? The common random numbers
technique intentionally induces positive correlation
between two systems - much like a paired-𝑡confidence
interval. - ANSWER-TRUE
CRN depends on someone's ability to manipulate the
underlying pseudo-random numbers - e.g., use the same
arrival times when simulating two competing simulated
systems. So who ultimately controls those PRNs?? -
ANSWER-You do - you are powerful!
