Question 1

Crystal Ball can be used to fit a continuous distribution to data

Accepted Answer

A) True 
 B)False

Question 2

Which of the following are advantages of computer simulation over analytical methods like PERT/CPM for predicting the probability that a project will complete by a deadline?

Accepted Answer

A) It does not need to make as many simplifying assumptions 
B) It is more flexible about which probability distributions can be used 
C) It provides a solution more quickly 
D) All of the above 
E) a and b only 
A) It does not need to make as many simplifying assumptions 
B) It is more flexible about which probability distributions can be used 
C) It provides a solution more quickly 
D) All of the above 
E) a and b only

Question 3

The Decision Table tool can simultaneously vary up to how many different decision variables?

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
E) Any number of decision variables 
A) 1 
B) 2 
C) 3 
D) 4 
E) Any number of decision variables

Question 4

Increasing the number of trials increases the accuracy of a simulation

Accepted Answer

A) True 
 B)False

Question 5

Which of the following is not a good choice for run preferences when using OptQuest?

Accepted Answer

A) 500 trials 
B) Using a different sequence of random numbers 
C) Latin Hypercube sampling method 
D) Update forecast windows and check precision control every 50 trials 
E) All are good choices when using OptQuest 
A) 500 trials 
B) Using a different sequence of random numbers 
C) Latin Hypercube sampling method 
D) Update forecast windows and check precision control every 50 trials 
E) All are good choices when using OptQuest

Question 6

OptQuest can not handle constraints in a simulation model

Accepted Answer

A) True 
 B)False

Question 7

The normal distribution is a good choice when all values within a range are equally likely

Accepted Answer

A) True 
 B)False

Question 8

Which of the following distributions describes the number of trials until an event occurs?

Accepted Answer

A) Binomial distribution 
B) Geometric distribution 
C) Negative binomial distribution 
D) Poisson distribution 
E) None of the above 
A) Binomial distribution 
B) Geometric distribution 
C) Negative binomial distribution 
D) Poisson distribution 
E) None of the above

Question 9

The sensitivity chart in Crystal Ball indicates the increase in the forecast cell value per unit increase in the assumption cell

Accepted Answer

A) True 
 B)False

Question 10

Which of the following are three-parameter distributions?

Accepted Answer

A) Weibull distribution 
B) Normal distribution 
C) Beta distribution 
D) All of the above 
E) a and c only 
A) Weibull distribution 
B) Normal distribution 
C) Beta distribution 
D) All of the above 
E) a and c only

Question 11

The number of trials is one of the options to be set in the Run Preferences for Crystal Ball

Accepted Answer

A) True 
 B)False

Question 12

The more trials that are run,the lower the mean standard error will become

Accepted Answer

A) True 
 B)False

Question 13

Which of the following is not a characteristic of the uniform distribution?

Accepted Answer

A) It has a fixed minimum value 
B) It has a fixed maximum value 
C) Some value is the most likely 
D) All of the above are characteristic of the uniform distribution 
E) None of the above are characteristic of the uniform distribution 
A) It has a fixed minimum value 
B) It has a fixed maximum value 
C) Some value is the most likely 
D) All of the above are characteristic of the uniform distribution 
E) None of the above are characteristic of the uniform distribution

Question 14

Which of the following provide the mean,median,standard deviation,range,etc for the forecast cell in Crystal Ball

Accepted Answer

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

Question 15

The three- and four-parameter distributions provide the most flexibility when trying to fit a curve to a situation

Accepted Answer

A) True 
 B)False

Question 16

The Weibull and beta distribution are examples of two-parameter distributions

Accepted Answer

A) True 
 B)False

Question 17

Which of the following distributions describes the number of times an event occurs in a fixed number of trials?

Accepted Answer

A) Binomial distribution 
B) Geometric distribution 
C) Negative binomial distribution 
D) Poisson distribution 
E) None of the above 
A) Binomial distribution 
B) Geometric distribution 
C) Negative binomial distribution 
D) Poisson distribution 
E) None of the above

Question 18

The negative binomial distribution describes the number of trials until an event occurs n times

Accepted Answer

A) True 
 B)False

Question 19

Which of the following charts shows a histogram giving the relative frequency of the various output values in the forecast cell?

Accepted Answer

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

Question 20

Which of the following distributions is widely used to describe the time between random events?

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

Crystal Ball can be used to fit a continuous distribution to data

Which of the following are advantages of computer simulation over analytical methods like PERT/CPM for predicting the probability that a project will complete by a deadline?

The Decision Table tool can simultaneously vary up to how many different decision variables?

Increasing the number of trials increases the accuracy of a simulation

Which of the following is not a good choice for run preferences when using OptQuest?

OptQuest can not handle constraints in a simulation model

The normal distribution is a good choice when all values within a range are equally likely

Which of the following distributions describes the number of trials until an event occurs?

The sensitivity chart in Crystal Ball indicates the increase in the forecast cell value per unit increase in the assumption cell

Which of the following are three-parameter distributions?

The number of trials is one of the options to be set in the Run Preferences for Crystal Ball

The more trials that are run,the lower the mean standard error will become

Which of the following is not a characteristic of the uniform distribution?

Which of the following provide the mean,median,standard deviation,range,etc for the forecast cell in Crystal Ball

The three- and four-parameter distributions provide the most flexibility when trying to fit a curve to a situation

The Weibull and beta distribution are examples of two-parameter distributions

Which of the following distributions describes the number of times an event occurs in a fixed number of trials?

The negative binomial distribution describes the number of trials until an event occurs n times

Which of the following charts shows a histogram giving the relative frequency of the various output values in the forecast cell?

Which of the following distributions is widely used to describe the time between random events?

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

Crystal Ball can be used to fit a continuous distribution to data

Which of the following are advantages of computer simulation over analytical methods like PERT/CPM for predicting the probability that a project will complete by a deadline?

The Decision Table tool can simultaneously vary up to how many different decision variables?

Increasing the number of trials increases the accuracy of a simulation

Which of the following is not a good choice for run preferences when using OptQuest?

OptQuest can not handle constraints in a simulation model

The normal distribution is a good choice when all values within a range are equally likely

Which of the following distributions describes the number of trials until an event occurs?

The sensitivity chart in Crystal Ball indicates the increase in the forecast cell value per unit increase in the assumption cell

Which of the following are three-parameter distributions?

The number of trials is one of the options to be set in the Run Preferences for Crystal Ball

The more trials that are run,the lower the mean standard error will become

Which of the following is not a characteristic of the uniform distribution?

Which of the following provide the mean,median,standard deviation,range,etc for the forecast cell in Crystal Ball

The three- and four-parameter distributions provide the most flexibility when trying to fit a curve to a situation

The Weibull and beta distribution are examples of two-parameter distributions

Which of the following distributions describes the number of times an event occurs in a fixed number of trials?

The negative binomial distribution describes the number of trials until an event occurs n times

Which of the following charts shows a histogram giving the relative frequency of the various output values in the forecast cell?

Which of the following distributions is widely used to describe the time between random events?

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