Question 1

Which of the following is not a step required to perform a simulation with Crystal Ball?

Accepted Answer

A) Define the random input cells 
B) Define the output cells to forecast 
C) Set the run preferences 
D) Develop the spreadsheet model 
E) All are steps required to perform a simulation with Crystal Ball 
A) Define the random input cells 
B) Define the output cells to forecast 
C) Set the run preferences 
D) Develop the spreadsheet model 
E) All are steps required to perform a simulation with Crystal Ball

Question 2

The mean standard error gives an indication of the accuracy of the estimated mean

Accepted Answer

A) True 
 B)False

Question 3

The Decision Table tool in Crystal Ball can be used to systematically investigate a set of values for a decision variable in a simulation model

Accepted Answer

A) True 
 B)False

Question 4

When applying simulation to an inventory problem,which of the following would be an assumption cell?

Accepted Answer

A) The total profit 
B) The holding cost per unit 
C) The demand 
D) All of the above 
E) None of the above 
A) The total profit 
B) The holding cost per unit 
C) The demand 
D) All of the above 
E) None of the above

Question 5

Which of the following distributions describes the number of times an event occurs during a given period of time or space?

Accepted Answer

A) Uniform distribution 
B) Exponential distribution 
C) Poisson distribution 
D) Normal distribution 
E) None of the above 
A) Uniform distribution 
B) Exponential distribution 
C) Poisson distribution 
D) Normal distribution 
E) None of the above

Question 6

The triangular distribution has a fixed upper and lower bound

Accepted Answer

A) True 
 B)False

Question 7

A distribution is chosen from the Distribution Gallery for which type of cell?

Accepted Answer

A) An assumption cell 
B) A decision variable 
C) A forecast cell 
D) An output cell 
E) None of the above 
A) An assumption cell 
B) A decision variable 
C) A forecast cell 
D) An output cell 
E) None of the above

Question 8

A danger of using the lognormal distribution is that values can fall below zero

Accepted Answer

A) True 
 B)False

Question 9

When applying simulation to an inventory problem,which of the following is the most appropriate choice for the forecast cell

Accepted Answer

A) The total profit 
B) The holding cost per unit 
C) The demand 
D) All of the above 
E) None of the above 
A) The total profit 
B) The holding cost per unit 
C) The demand 
D) All of the above 
E) None of the above

Question 10

Which of the following is not one of the charts or tables provided by Crystal Ball?

Accepted Answer

A) Frequency chart 
B) Statistics table 
C) Reverse frequency chart 
D) Cumulative chart 
E) Percentiles table 
A) Frequency chart 
B) Statistics table 
C) Reverse frequency chart 
D) Cumulative chart 
E) Percentiles table

Question 11

OptQuest is guaranteed to find the optimal solution to a simulation problem

Accepted Answer

A) True 
 B)False

Which of the following is not a step required to perform a simulation with Crystal Ball?

The mean standard error gives an indication of the accuracy of the estimated mean

The Decision Table tool in Crystal Ball can be used to systematically investigate a set of values for a decision variable in a simulation model

When applying simulation to an inventory problem,which of the following would be an assumption cell?

Which of the following distributions describes the number of times an event occurs during a given period of time or space?

The triangular distribution has a fixed upper and lower bound

A distribution is chosen from the Distribution Gallery for which type of cell?

A danger of using the lognormal distribution is that values can fall below zero

When applying simulation to an inventory problem,which of the following is the most appropriate choice for the forecast cell

Which of the following is not one of the charts or tables provided by Crystal Ball?

OptQuest is guaranteed to find the optimal solution to a simulation problem

Introduction

Linear programming: Basic Concepts

Linear programming: Formulation and applications

Theart of modeling with spread sheets

What-If Analysis for linear programming

Network optimization problems

Using binary integer programming to deal withy es-Or-No decisions

Non linear programming

Decision Analysis

Forecasting

Queuing models

Computer simulation: Basic Concepts

Computer simulation with risks olver platform

Solution concepts for linear programming

Transportation and assignment problems

Pert CPM models for project management

Goal programming

Inventory management with known demand

Inventory management with uncertain demand

Filters

Exam 20: Computer simulation with crystal ball

Which of the following is not a step required to perform a simulation with Crystal Ball?

The mean standard error gives an indication of the accuracy of the estimated mean

The Decision Table tool in Crystal Ball can be used to systematically investigate a set of values for a decision variable in a simulation model

When applying simulation to an inventory problem,which of the following would be an assumption cell?

Which of the following distributions describes the number of times an event occurs during a given period of time or space?

The triangular distribution has a fixed upper and lower bound

A distribution is chosen from the Distribution Gallery for which type of cell?

A danger of using the lognormal distribution is that values can fall below zero

When applying simulation to an inventory problem,which of the following is the most appropriate choice for the forecast cell

Which of the following is not one of the charts or tables provided by Crystal Ball?

OptQuest is guaranteed to find the optimal solution to a simulation problem

Introduction

Linear programming: Basic Concepts

Linear programming: Formulation and applications

Theart of modeling with spread sheets

What-If Analysis for linear programming

Network optimization problems

Using binary integer programming to deal withy es-Or-No decisions

Non linear programming

Decision Analysis

Forecasting

Queuing models

Computer simulation: Basic Concepts

Computer simulation with risks olver platform

Solution concepts for linear programming

Transportation and assignment problems

Pert CPM models for project management

Goal programming

Inventory management with known demand

Inventory management with uncertain demand

Filters