Question 1

In a Monte Carlo simulation, each simulation trial is dependent upon the result of a previous trial.

Accepted Answer

A) True 
 B)False

Question 2

Using simulation to perform risk analysis is like playing out many what-if scenarios by randomly generating values for the probabilistic inputs.

Accepted Answer

A) True 
 B)False

Question 3

The number of units expected to be sold is uniformly distributed between 300 and 500.If r is a random number between 0 and 1, then the proper expression for sales is

Accepted Answer

A) 200(r) 
B) r + 300 
C) 300 + 500(r) 
D) 300 + r(200) 
A) 200(r) 
B) r + 300 
C) 300 + 500(r) 
D) 300 + r(200)

Question 4

To use Excel to generate a normally distributed random variable, you must know the mean and standard deviation of the distribution and have a random number between 0 and 1.

Accepted Answer

A) True 
 B)False

Question 5

A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a

Accepted Answer

A) dynamic simulation model. 
B) static simulation model. 
C) steady-state simulation model. 
D) discrete-event simulation model. 
A) dynamic simulation model. 
B) static simulation model. 
C) steady-state simulation model. 
D) discrete-event simulation model.

Question 6

The parameters of a simulation model are the controllable inputs.

Accepted Answer

A) True 
 B)False

Question 7

A quantity that is difficult to measure with certainty is called a

Accepted Answer

A) risk analysis. 
B) project determinant. 
C) probabilistic input. 
D) profit/loss process. 
A) risk analysis. 
B) project determinant. 
C) probabilistic input. 
D) profit/loss process.

Question 8

The degree of risk is associated with the probability or magnitude of loss.

Accepted Answer

A) True 
 B)False

Question 9

A static simulation model is used in situations where the state of the system affects how the system changes or evolves over time.

Accepted Answer

A) True 
 B)False

Question 10

The process of determining that the computer procedure that performs the simulation calculations is logically correct is called

Accepted Answer

A) implementation. 
B) validation. 
C) verification. 
D) repetition. 
A) implementation. 
B) validation. 
C) verification. 
D) repetition.

Question 11

Values for the probabilistic inputs to a simulation

Accepted Answer

A) are selected by the decision maker. 
B) are controlled by the decision maker. 
C) are randomly generated based on historical information. 
D) are calculated by fixed mathematical formulas. 
A) are selected by the decision maker. 
B) are controlled by the decision maker. 
C) are randomly generated based on historical information. 
D) are calculated by fixed mathematical formulas.

Question 12

A simulation model uses the mathematical expressions and logical relationships of the

Accepted Answer

A) real system. 
B) computer model. 
C) performance measures. 
D) estimated inferences. 
A) real system. 
B) computer model. 
C) performance measures. 
D) estimated inferences.

Question 13

Computer-generated random numbers are normally distributed over the interval from 0 to 1.

Accepted Answer

A) True 
 B)False

In a Monte Carlo simulation, each simulation trial is dependent upon the result of a previous trial.

Using simulation to perform risk analysis is like playing out many what-if scenarios by randomly generating values for the probabilistic inputs.

The number of units expected to be sold is uniformly distributed between 300 and 500.If r is a random number between 0 and 1, then the proper expression for sales is

To use Excel to generate a normally distributed random variable, you must know the mean and standard deviation of the distribution and have a random number between 0 and 1.

A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a

The parameters of a simulation model are the controllable inputs.

A quantity that is difficult to measure with certainty is called a

The degree of risk is associated with the probability or magnitude of loss.

A static simulation model is used in situations where the state of the system affects how the system changes or evolves over time.

The process of determining that the computer procedure that performs the simulation calculations is logically correct is called

Values for the probabilistic inputs to a simulation

A simulation model uses the mathematical expressions and logical relationships of the

Computer-generated random numbers are normally distributed over the interval from 0 to 1.

Introduction

Introduction to Linear Programming

LP Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications

Advanced Linear Programming Applications

Distribution and Network Problems

Integer Linear Programming

Nonlinear Optimization Models

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Decision Analysis

Multicriteria Decisions

Forecasting

Markov Processes

LP: Simplex Method

Simplex-Based Sensitivity Analysis and Duality

Solution Procedures for Transportation and Assignment Problems

Minimal Spanning Tree

Dynamic Programming

Filters

Exam 12: Simulation

In a Monte Carlo simulation, each simulation trial is dependent upon the result of a previous trial.

Using simulation to perform risk analysis is like playing out many what-if scenarios by randomly generating values for the probabilistic inputs.

The number of units expected to be sold is uniformly distributed between 300 and 500.If r is a random number between 0 and 1, then the proper expression for sales is

To use Excel to generate a normally distributed random variable, you must know the mean and standard deviation of the distribution and have a random number between 0 and 1.

A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a

The parameters of a simulation model are the controllable inputs.

A quantity that is difficult to measure with certainty is called a

The degree of risk is associated with the probability or magnitude of loss.

A static simulation model is used in situations where the state of the system affects how the system changes or evolves over time.

The process of determining that the computer procedure that performs the simulation calculations is logically correct is called

Values for the probabilistic inputs to a simulation

A simulation model uses the mathematical expressions and logical relationships of the

Computer-generated random numbers are normally distributed over the interval from 0 to 1.

Introduction

Introduction to Linear Programming

LP Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications

Advanced Linear Programming Applications

Distribution and Network Problems

Integer Linear Programming

Nonlinear Optimization Models

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Decision Analysis

Multicriteria Decisions

Forecasting

Markov Processes

LP: Simplex Method

Simplex-Based Sensitivity Analysis and Duality

Solution Procedures for Transportation and Assignment Problems

Minimal Spanning Tree

Dynamic Programming

Filters