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Test Bank – Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics, 9th Edition – Cliff Ragsdale – ISBN 9780357132098 (Full Chapters 1–15 Covered)

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Master the art of business analytics and mathematical modeling with this complete and comprehensive Test Bank for Spreadsheet Modeling and Decision Analysis, 9th Edition by Cliff Ragsdale (ISBN 9780357132098). This professional study resource features thousands of exam-ready multiple-choice questions, true/false statements, and spreadsheet-based computational problems with detailed rationales across the entire decision science curriculum, providing exhaustive coverage for Chapter 1. Introduction to modeling and decision analysis, Chapter 2. Introduction to optimization and linear programming, Chapter 3. Modeling and solving lp problems in a spreadsheet, Chapter 4. Sensitivity analysis and the simplex method, Chapter 5. Network modeling, Chapter 6. Integer linear programming, Chapter 7. Goal programming and multiple objective optimization, Chapter 8. Nonlinear programming and evolutionary optimization, Chapter 9. Regression analysis, Chapter 10. Data mining, Chapter 11. Time series forecasting, Chapter 12. Introduction to simulation using analytic solver, Chapter 13. Queuing theory, Chapter 14. Decision analysis, and Chapter 15. Project management.

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Spreadsheet Modeling and Decision Analysis

Voorbeeld van de inhoud

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Spreadsheet Modeling and
Decision Analysis: A Practical
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Introduction to Business
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Analytics, 9th Edition

TEST BANK
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Cliff Ragsdale
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Comprehensive Test Bank for Instructors
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and Students
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9780357132098
© Cliff Ragsdale. All rights reserved.
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Reproduction or distribution without permission is
prohibited.



© MEDGEEK

, TABLE OF CONTENTS

Test Bank – Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business
Analytics (9th Edition)
Author: Cliff Ragsdale
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ISBN: 9780357132098

PART I: OPTIMIZATION AND LINEAR PROGRAMMING

Chapter 1: Introduction to Modeling and Decision Analysis
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Chapter 2: Introduction to Optimization and Linear Programming
Chapter 3: Modeling and Solving LP Problems in a Spreadsheet
Chapter 4: Sensitivity Analysis and the Simplex Method
Chapter 5: Network Modeling
Chapter 6: Integer Linear Programming
Chapter 7: Goal Programming and Multiple Objective Optimization
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Chapter 8: Nonlinear Programming and Evolutionary Optimization

PART II: DATA ANALYTICS AND FORECASTING
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Chapter 9: Regression Analysis
Chapter 10: Data Mining
Chapter 11: Time Series Forecasting

PART III: PROBABILISTIC MODELS AND DECISION MAKING
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Chapter 12: Introduction to Simulation Using Analytic Solver
Chapter 13: Queuing Theory
Chapter 14: Decision Analysis
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PART IV: PROJECT MANAGEMENT

Chapter 15: Project Management
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, Name: Class: Date:




TEST BANK FOR
Spreadsheet Modeling And Decision Analysis A Practical Introduction To Business Analytics 9th
Edition Cliff Ragsdale Chapter 1-15
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Answers are at the end of each chapter
chapter 1

Indicate whether the statement is true or false.
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1. Because they simplify reality, models are generally not helpful in examining things that would be impossible to
do in reality.
a. True
b. False
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2. The proliferation of powerful PCs and the development of easy-to-use electronic spreadsheets have made the tools of
business analytics far more practical and available to a much larger audience.
a. True
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b. False

3. A mathematical model uses mathematical relationships to describe or represent an object or decision problem.
a. True
b. False
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4. In spreadsheet modeling of a problem, there is no direct correspondence between mathematical equation and the
spreadsheet.
a. True
b. False
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5. Humans usually do not make errors in estimation due to anchoring and framing effects.
a. True
b. False

6. Good decisions always result in good outcomes.
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a. True
b. False

7. Defining a problem well will often make it much easier to solve.
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a. True
b. False

8. OR/MS specialists do not deliver business value.
a. True
b. False

Indicate the answer choice that best completes the statement or answers the question.
Copyright Cengage Learning. Powered by Cognero. Page 1

, Name: Class: Date:




9. Identifying the real problems faced by the decision maker
a. is not important since the decision maker has already defined the problem.
b. requires insight, some imagination, time and a good bit of detective work.
c. first requires a well-defined problem statement.
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d. will lead to developing the best model.

10. Business opportunities can be viewed and formulated as
a. decision problems.
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b. analytical models.
c. empirical models.
d. testing tools.

11. In a spreadsheet, input cells correspond conceptually to
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a. dependent variables.
b. functions.
c. independent variables.
d. output cells.
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12. Solutions to which of the following categories of modeling techniques indicate a course of action to the decision
maker?
a. Descriptive models
b. Predictive models
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c. Prescriptive models
d. Preventive models

13. A factor that plays a role in determining whether a good or bad outcome occurs is called
a. luck.
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b. intuition.
c. certainty.
d. predictability.

14. In a model Y=f(x1, x2), Y is called:
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a. a dependent variable.
b. an independent variable.
c. a confounded variable.
d. a convoluted variable.
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15. Which of the following is the type of model used throughout this textbook?
a. Mathematical model
b. Mental model
c. Physical model
d. Visual model

16. The essence of decision analysis is:
Copyright Cengage Learning. Powered by Cognero. Page 2

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