Exam 1: Introduction to Modeling
Exam 1: Introduction to Modeling30 Questions
Exam 2: Introduction to Spreadsheet Modeling30 Questions
Exam 3: Introduction to Optimization Modeling30 Questions
Exam 4: Linear Programming Models31 Questions
Exam 5: Network Models30 Questions
Exam 6: Optimization Models With Integer Variables30 Questions
Exam 7: Nonlinear Optimization Models30 Questions
Exam 8: Evolutionary Solver: An Alternative Optimization Procedure30 Questions
Exam 9: Decision Making Under Uncertainty30 Questions
Exam 10: Introduction to Simulation Modeling30 Questions
Exam 11: Simulation Models30 Questions
Exam 12: Queueing Models30 Questions
Exam 13: Regression and Forecasting Models30 Questions
Exam 14: Data Mining30 Questions
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Which of the following is a type of model that is key to virtually every management science application
(Multiple Choice)
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Verification is typically the most difficult phase of the modeling process,from a mathematical perspective.
(True/False)
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Which of the following is not one of the desired conditions for a successful model implementation
(Multiple Choice)
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Which of the following is not one of the reasons for the new-found relevance of management science models
(Multiple Choice)
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Modeling is a process where the essence of a theoretical problem is extracted into a model,spreadsheet or otherwise.
(True/False)
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Which of the following is a possible cause if a model's outputs for certain inputs are not as expected
(Multiple Choice)
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A completed model typically marks the end of the modeling process.
(True/False)
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In some applications,an analyst might present several alternative solutions from a model,and let the organization choose the best one.
(True/False)
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One of the arguments that management science practitioners have used to criticize the emphasis on specific models is that they do not provide the correct answer.
(True/False)
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