Question 1

Developing the cumulative probability distribution helps to determine random number ranges.

Accepted Answer

A) True 
 B)False

Question 2

Given the following random number ranges and the following random number sequence: 62, 13, 25, 40, 86, 93, determine the average demand for the following distribution of demand.
 $$\begin{array} { | c | c | } 
\hline \text { Demand } & \begin{array} { c } 
\text { Random } \
\text { Number Ranges }
\end{array} \
\hline 5 & 00 - 14 \
\hline 6 & 15 - 44 \
\hline 7 & 45 - 69 \
\hline 8 & 70 - 84 \
\hline 9 & 85 - 99 \
\hline
\end{array}$$

Accepted Answer

The answer of Given the following random number ranges and...

Question 3

A table of random numbers must be

Accepted Answer

A)  in descending order. 
B)  efficiently generated. 
C)  normally distributed. 
D)  in ascending order. 
A)  in descending order. 
B)  efficiently generated. 
C)  normally distributed. 
D)  in ascending order.

Question 4

If the probability of an event is 0.36, what random number range specifies this properly?

Accepted Answer

A)  0.10 - 0.20 
B)  0.20 - 0.30 
C)  0.30 - 0.40 
D)  0.40 - 0.50 
A)  0.10 - 0.20 
B)  0.20 - 0.30 
C)  0.30 - 0.40 
D)  0.40 - 0.50

Question 5

The U.S. Department of Agriculture estimates that the yearly yield of limes per acre is distributed as follows:
 $$\begin{array} { | c | c | } 
\hline \begin{array} { c } 
\text { Yield, bushels } \
\text { per acre }
\end{array} & \text { Probability } \
\hline 350 & .10 \
\hline 400 & .18 \
\hline 450 & .50 \
\hline 500 & .22 \
\hline
\end{array}$$ The estimated average price per bushel is $16.80.
-Use the following random numbers to simulation crop yield for 10 years: 37, 23, 92, 01, 69, 50, 72, 12, 46, 81. What is the estimated crop yield from the simulation?

Accepted Answer

A)  425 
B)  442 
C)  440 
D)  475 
A)  425 
B)  442 
C)  440 
D)  475

Question 6

In assigning random numbers to probabilistic events in a simulation,

Accepted Answer

A)  several events are associated with the same random number. 
B)  every random number is associated with a particular event. 
C)  every event is associated with the same random number. 
D)  the events dictate the seed number of the random number stream. 
A)  several events are associated with the same random number. 
B)  every random number is associated with a particular event. 
C)  every event is associated with the same random number. 
D)  the events dictate the seed number of the random number stream.

Question 7

Pseudorandom numbers exhibit a ________ in order to be considered truly random.

Accepted Answer

A)  limited number of possible outcomes 
B)  uniform distribution 
C)  detectable pattern 
D)  detectable run of certain numbers 
A)  limited number of possible outcomes 
B)  uniform distribution 
C)  detectable pattern 
D)  detectable run of certain numbers

Question 8

Starting conditions have no impact on the validity of a simulation model.

Accepted Answer

A) True 
 B)False

Question 9

In Excel the VLOOKUP function is used to determine values for continuous random variables.

Accepted Answer

A) True 
 B)False

Question 10

In the Monte Carlo process, values for a random variable are generated by ________ a probability distribution.

Accepted Answer

A)  sampling from 
B)  running 
C)  integrating 
D)  implementing 
A)  sampling from 
B)  running 
C)  integrating 
D)  implementing

Question 11

Consider the following frequency of demand and random numbers:
 $$\begin{array}{l}
\begin{array} { c c } 
&\text { Relative }\
\text { Demand } & \text { Frequency } \
\hline 0 & 0.15 \
1 & 0.30 \
2 & 0.25 \
3 & 0.15 \
4 & 0.15
\end{array}
\end{array}$$ Random numbers: 0.13, 0.81, 0.53.
-If the simulation begins with the second random number, the simulated value for demand would be:

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  4 
A)  1 
B)  2 
C)  3 
D)  4

Question 12

After plowing through contracts for a decade, the contract writer knew about how long it took to crank out the material necessary to satisfy a contract's requirements. The distribution could be modeled using the data provided in this table.
 $$\begin{array} { | c | c | } 
\hline \begin{array} { c } 
\text { Number of } \
\text { Weeks }
\end{array} & \begin{array} { c } 
\text { Random } \
\text { Number Range }
\end{array} \
\hline 2 & 0 - 5 \
\hline 3 & 6 - 15 \
\hline 4 & 16 - 35 \
\hline 5 & 36 - 80 \
\hline 6 & 81 - 99 \
\hline
\end{array}$$
-If the first four random numbers are 17, 33, 64, and 8, what is the average number of weeks?

Accepted Answer

The lookups are 4, 4

Question 13

In the Monte Carlo process, values for a random variable are generated by sampling from a probability distribution.

Accepted Answer

A) True 
 B)False

Question 14

________ simulation is limited because of the amount of real time required to simulate even one trial.

Accepted Answer

A)  Manual 
B)  Monte Carlo 
C)  Monaco 
D)  Any kind of 
A)  Manual 
B)  Monte Carlo 
C)  Monaco 
D)  Any kind of

Question 15

A business professor wishes to model the duration of his commute through the busy streets of Bangalore. He decides to model it based on the number of auto-rickshaws that he passes during the first ten minutes of the drive. The continuous probability distribution 7x - 2 serves as a good model.
-What is the integral from 0 to 4 for this distribution?

Accepted Answer

The integral is 3.5x

Question 16

Validation of a simulation model occurs when the true steady state average results have been reached.

Accepted Answer

A) True 
 B)False

Question 17

A bakery is considering hiring another clerk to better serve customers. To help with this decision, records were kept to determine how many customers arrived in 10-minute intervals. Based on 100 10-minute intervals, the following probability distribution and random number assignments developed.
 $$\begin{array} { | c | c | c | } 
\hline \begin{array} { c } 
\text { Number of } \
\text { Arrivals }
\end{array} & \text { Probability } & \begin{array} { c } 
\text { Random } \
\text { numbers }
\end{array} \
\hline 6 & .1 & .01 - .10 \
\hline 7 & .3 & .11 - .40 \
\hline 8 & .3 & .41 - .70 \
\hline 9 & .2 & .71 - .90 \
\hline 10 & .1 & .91 - .00 \
\hline
\end{array}$$
-Suppose the next three random numbers were .18, .89 and .67. How many customers would have arrived during this 30-minute period?

Accepted Answer

A)  22 
B)  23 
C)  24 
D)  25 
A)  22 
B)  23 
C)  24 
D)  25

Question 18

Simulations are normally done

Accepted Answer

A)  manually. 
B)  in a casino. 
C)  by a spreadsheet. 
D)  on the computer. 
A)  manually. 
B)  in a casino. 
C)  by a spreadsheet. 
D)  on the computer.

Question 19

A normal distribution has a mean of 500 and a standard deviation of 50. A manager wants to simulate two values from this distribution and has drawn these random numbers: -0.6 and 1.4. What are the two values, respectively?

Accepted Answer

The answer of A normal distribution has a mean of...

Question 20

Consider the following distribution and random numbers: $$\begin{array} { c c c } 
\text { Demand } & \text { Frequency } & \text { Random Numbers: } : 62 ~13 ~ 25 ~ 40 \
\hline
0 & 0.15 & \
1 & 0.30 \
2 & 0.25 \
3 & 0.15 \
4 & 0.15
\end{array}$$ 
If a simulation begins with the first random number, what would the first simulation value would be ________.

Accepted Answer

The answer of Consider the following distribution and random numbers:...

Developing the cumulative probability distribution helps to determine random number ranges.

Given the following random number ranges and the following random number sequence: 62, 13, 25, 40, 86, 93, determine the average demand for the following distribution of demand. Demand Random Number Ranges 5 00-14 6 15-44 7 45-69 8 70-84 9 85-99

A table of random numbers must be

If the probability of an event is 0.36, what random number range specifies this properly?

In assigning random numbers to probabilistic events in a simulation,

Pseudorandom numbers exhibit a ________ in order to be considered truly random.

Starting conditions have no impact on the validity of a simulation model.

In Excel the VLOOKUP function is used to determine values for continuous random variables.

In the Monte Carlo process, values for a random variable are generated by ________ a probability distribution.

Consider the following frequency of demand and random numbers: Relative Demand Frequency 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 Random numbers: 0.13, 0.81, 0.53. -If the simulation begins with the second random number, the simulated value for demand would be:

In the Monte Carlo process, values for a random variable are generated by sampling from a probability distribution.

________ simulation is limited because of the amount of real time required to simulate even one trial.

Validation of a simulation model occurs when the true steady state average results have been reached.

Simulations are normally done

A normal distribution has a mean of 500 and a standard deviation of 50. A manager wants to simulate two values from this distribution and has drawn these random numbers: -0.6 and 1.4. What are the two values, respectively?

Consider the following distribution and random numbers: Demand Frequency Random Numbers: :62\nobreakspace13\nobreakspace25\nobreakspace40 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 If a simulation begins with the first random number, what would the first simulation value would be ________.

Management Science

Linear Programming: Model Formulation and Graphical Solution

Linear Programming: Computer Solution and Sensitivity Analysis

Linear Programming: Modeling Examples

Integer Programming

Transportation, Transshipment, and Assignment Problems

Network Flow Models

Project Management

Multicriteria Decision Making

Nonlinear Programming

Probability and Statistics

Decision Analysis

Queuing Analysis

Forecasting

Inventory Management

the Simplex Solution Method

Transportation and Assignment Solution Methods

Integer Programming: the Branch and Bound Method

Nonlinear Programming: Solution Techniques

Game Theory

Markov Analysis

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Exam 14: Simulation

Developing the cumulative probability distribution helps to determine random number ranges.

Given the following random number ranges and the following random number sequence: 62, 13, 25, 40, 86, 93, determine the average demand for the following distribution of demand. Demand Random Number Ranges 5 00-14 6 15-44 7 45-69 8 70-84 9 85-99

A table of random numbers must be

If the probability of an event is 0.36, what random number range specifies this properly?

In assigning random numbers to probabilistic events in a simulation,

Pseudorandom numbers exhibit a ________ in order to be considered truly random.

Starting conditions have no impact on the validity of a simulation model.

In Excel the VLOOKUP function is used to determine values for continuous random variables.

In the Monte Carlo process, values for a random variable are generated by ________ a probability distribution.

Consider the following frequency of demand and random numbers: Relative Demand Frequency 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 Random numbers: 0.13, 0.81, 0.53. -If the simulation begins with the second random number, the simulated value for demand would be:

In the Monte Carlo process, values for a random variable are generated by sampling from a probability distribution.

________ simulation is limited because of the amount of real time required to simulate even one trial.

Validation of a simulation model occurs when the true steady state average results have been reached.

Simulations are normally done

A normal distribution has a mean of 500 and a standard deviation of 50. A manager wants to simulate two values from this distribution and has drawn these random numbers: -0.6 and 1.4. What are the two values, respectively?

Consider the following distribution and random numbers: Demand Frequency Random Numbers: :62\nobreakspace13\nobreakspace25\nobreakspace40 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 If a simulation begins with the first random number, what would the first simulation value would be ________.

Management Science

Linear Programming: Model Formulation and Graphical Solution

Linear Programming: Computer Solution and Sensitivity Analysis

Linear Programming: Modeling Examples

Integer Programming

Transportation, Transshipment, and Assignment Problems

Network Flow Models

Project Management

Multicriteria Decision Making

Nonlinear Programming

Probability and Statistics

Decision Analysis

Queuing Analysis

Forecasting

Inventory Management

the Simplex Solution Method

Transportation and Assignment Solution Methods

Integer Programming: the Branch and Bound Method

Nonlinear Programming: Solution Techniques

Game Theory

Markov Analysis

Filters