ISYE 6644 OH Exam 2 Practice Questions – Spring 2025 Complete
Study Guide with Verified Questions, Answers & Rationales.
Georgia Institute Of Technology.
SECTION 1: OUTPUT ANALYSIS & STATISTICAL
ESTIMATION
Question 1
We often distinguish between two general types of simulations with regard to output
analysis. What are they called?
A) Discrete and continuous
B) Deterministic and stochastic
C) Finite-horizon and steady-state
D) Terminating and non-terminating
Correct Answer: C
Rationale: Finite-horizon (terminating) simulations have a natural stopping time (e.g.,
8:00 a.m. to 5:00 p.m.), while steady-state (non-terminating) simulations run indefinitely
to analyze long-run behavior.
Question 2
Which scenario is best suited for a finite-horizon analysis?
A) Simulate an assembly line working 24/7
B) Simulate bank operations from 8:00 a.m. to 5:00 p.m.
C) Simulate a manufacturing plant with continuous production
D) Simulate a call center that never closes
, Correct Answer: B
Rationale: Bank operations from opening to closing have a natural termination time,
making it a finite-horizon simulation. An assembly line working 24/7 (A) and a
manufacturing plant with continuous production (C) are better suited for steady-state
analysis.
Question 3
Which scenario is best suited for a steady-state analysis?
A) Simulate an assembly line working 24/7
B) Simulate a bank from 9:00 a.m. to 5:00 p.m.
C) Simulate a one-day sale event
D) Simulate a single customer visit
Correct Answer: A
Rationale: An assembly line running continuously (24/7) is analyzed for long-run steady-
state behavior. Bank operations (B), one-day sales events (C), and single customer
visits (D) have natural termination points.
Question 4
TRUE or FALSE: The main method of attack for terminating simulations is via
independent replications.
Correct Answer: True
Rationale: Independent replications help mitigate issues with simulation outputs not
being i.i.d., providing valid confidence intervals for terminating simulations.
Question 5
TRUE or FALSE: Suppose that X₁, X₂, ..., Xₙ are consecutive waiting times, and we define
the sample mean X̄ = ∑Xᵢ/n. Then Var(X̄) = Var(Xᵢ)/n.
Study Guide with Verified Questions, Answers & Rationales.
Georgia Institute Of Technology.
SECTION 1: OUTPUT ANALYSIS & STATISTICAL
ESTIMATION
Question 1
We often distinguish between two general types of simulations with regard to output
analysis. What are they called?
A) Discrete and continuous
B) Deterministic and stochastic
C) Finite-horizon and steady-state
D) Terminating and non-terminating
Correct Answer: C
Rationale: Finite-horizon (terminating) simulations have a natural stopping time (e.g.,
8:00 a.m. to 5:00 p.m.), while steady-state (non-terminating) simulations run indefinitely
to analyze long-run behavior.
Question 2
Which scenario is best suited for a finite-horizon analysis?
A) Simulate an assembly line working 24/7
B) Simulate bank operations from 8:00 a.m. to 5:00 p.m.
C) Simulate a manufacturing plant with continuous production
D) Simulate a call center that never closes
, Correct Answer: B
Rationale: Bank operations from opening to closing have a natural termination time,
making it a finite-horizon simulation. An assembly line working 24/7 (A) and a
manufacturing plant with continuous production (C) are better suited for steady-state
analysis.
Question 3
Which scenario is best suited for a steady-state analysis?
A) Simulate an assembly line working 24/7
B) Simulate a bank from 9:00 a.m. to 5:00 p.m.
C) Simulate a one-day sale event
D) Simulate a single customer visit
Correct Answer: A
Rationale: An assembly line running continuously (24/7) is analyzed for long-run steady-
state behavior. Bank operations (B), one-day sales events (C), and single customer
visits (D) have natural termination points.
Question 4
TRUE or FALSE: The main method of attack for terminating simulations is via
independent replications.
Correct Answer: True
Rationale: Independent replications help mitigate issues with simulation outputs not
being i.i.d., providing valid confidence intervals for terminating simulations.
Question 5
TRUE or FALSE: Suppose that X₁, X₂, ..., Xₙ are consecutive waiting times, and we define
the sample mean X̄ = ∑Xᵢ/n. Then Var(X̄) = Var(Xᵢ)/n.
