Simulation Exam Study Guide: Chapter 12, Exams of Mathematics

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CHAPTER 12: Simulation EXAM

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True / False

1. Simulation is an excellent technique to use when a situation is too complicated to use standard analytical procedures. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Remember
2. Simulation is a trial-and-error approach to problem solving. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Understand
3. The degree of risk is associated with the probability or magnitude of loss. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Understand
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. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy

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TOPICS: 12.2 Simulation of Sanotronics Problem KEYWORDS: Bloom's: Understand

5. Trials of a simulation show what would happen when values of the probabilistic input change. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.02 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.2 Simulation of Sanotronics Problem KEYWORDS: Bloom's: Understand
6. Verification is the process of ensuring that the simulation model provides an accurate representation of the real system. a. True b. False ANSWER: False POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.05 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.5 Simulation Considerations KEYWORDS: Bloom's: Remember
7. Simulation is a method that uses repeated random sampling of values in order to represent uncertainty in a model that represents a real system and computes the values of model outputs. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.05 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.5 Simulation Considerations KEYWORDS: Bloom's: Remember
8. Validation determines that the computer procedure is operating as it is intended to operate. a. True b. False ANSWER: False POINTS: 1

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DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.05 - 12.

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ANSWER: True POINTS: 1 DIFFICULTY: Moderate

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LEARNING OBJECTIVES: IMS.ASWC.19.12.03 - 12.

NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.3 Inventory Simulation KEYWORDS: Bloom's: Understand

13. Using simulation to perform risk analysis is like playing out many what-if scenarios by randomly generating values for the probabilistic inputs. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Understand
14. All values of the computer-generated random numbers are equally likely and are uniformly distributed over the interval from 0 to 1. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.02 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.2 Simulation of Sanotronics Problem KEYWORDS: Bloom's: Understand
15. Computer-generated random numbers are not technically random, because they are generated through the use of mathematical formulas. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.02 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.2 Simulation of Sanotronics Problem KEYWORDS: Bloom's: Understand
16. Simulation is an optimization technique.

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POINTS: 1

DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.03 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.3 Inventory Simulation KEYWORDS: Bloom's: Remember

17. Simulation models that must take into account how the system changes or evolves over time are referred to as dynamic simulation models. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.04 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.4 Waiting Line Simulation KEYWORDS: Bloom's: Remember
18. Each simulation run provides only a sample of how the real system will operate. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.05 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.5 Simulation Considerations KEYWORDS: Bloom's: Understand
19. One disadvantage of simulation is that it is limited in the variety of probability distributions that can be used in modeling a system. a. True b. False ANSWER: False POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.05 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.5 Simulation Considerations KEYWORDS: Bloom's: Understand

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20. A simulation model provides a convenient experimental laboratory for the real system. a. True b. False

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24. When making a decision in the presence of uncertainty, decision makers should only be interested in the average, or expected, outcome.

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a. True b. False ANSWER: False POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Understand

25. Simulation analysis requires a model foundation of logical formulas that correctly express the relationships between parameters and decisions to generate outputs of interest. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Understand

Multiple Choice

26. A simulation model uses the mathematical expressions and logical relationships of the a. real system. b. computer model. c. performance measures. d. estimated inferences. ANSWER: a POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Understand
27. Values for the random variables or uncertain variable inputs to a simulation are a. selected by the decision maker. b. controlled by the decision maker. c. randomly generated from the specified probability distributions. d. calculated by fixed mathematical formulas.

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DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.01 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.1 What-If Analysis KEYWORDS: Bloom's: Understand

28. A quantity that is difficult to measure with certainty is called a a. risk analysis. b. project determinant. c. probabilistic input. d. profit/loss process. ANSWER: c POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.02 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.2 Simulation of Sanotronics Problem KEYWORDS: Bloom's: Remember
29. A value for probabilistic input from a discrete probability distribution a. is the value given by the RAND() function. b. is given by matching the probabilistic input with an interval of random numbers. c. is between 0 and 1. d. must be nonnegative. ANSWER: b POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.02 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.2 Simulation of Sanotronics Problem KEYWORDS: Bloom's: Understand
30. 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 a. 200(r). b. r + 300. c. 300 + 500(r). d. 300 + r(200). ANSWER: d POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.02 - 12.

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NATIONAL STANDARDS: United States - BUSPROG: Analytic TOPICS: 12.2 Simulation of Sanotronics Problem

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34. Simulation a. does not guarantee optimality.

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b. is flexible and does not require the assumptions of theoretical models. c. allows testing of the system without affecting the real system. d. All of these are correct. ANSWER: d POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.05 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.5 Simulation Considerations KEYWORDS: Bloom's: Understand

35. A simulation model in which each trial is 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 a. dynamic simulation model. b. static simulation model. c. steady-state simulation model. d. discrete-event simulation model. ANSWER: b POINTS: 1 DIFFICULTY: Moderate LEARNING OBJECTIVES: IMS.ASWC.19.12.04 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.4 Waiting Line Simulation KEYWORDS: Bloom's: Remember
36. The process of determining that the computer procedure that performs the simulation calculations is logically correct is called a. implementation. b. validation. c. verification. d. repetition. ANSWER: c POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.12.05 - 12. NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 12.5 Simulation Considerations KEYWORDS: Bloom's: Remember
37. Using simulation models, we are able to explore the sensitivity of various decisions to some of the model's a. parameters. b. optimizations.