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Complete Test Bank Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics. 9th Edition. By Cliff Ragsdale (Chapter 1-15, Answers Provided)

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Complete Test Bank Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics. 9th Edition. By Cliff Ragsdale (Chapter 1-15, Answers Provided) SPREADSHEET MODELING AND DECISION ANALYSIS: A Practical Introduction to Business Analytics (9th Edition) by renowned analytics expert Cliff Ragsdale is a must-have resource for students and professionals looking to master modern business analytics using Excel. This edition delivers a clear, hands-on approach with realistic business examples, engaging topics, and powerful software tools that make learning both practical and effective. You’ll gain in-demand skills using the latest Excel functions in Microsoft Office 365 and Office 2019, along with Analytic Solver and Data Mining add-ins. The content is designed to build strong algebraic and spreadsheet modeling skills, guiding you step-by-step with annotated, full-color screenshots that make complex concepts easy to follow. Learn how to confidently apply descriptive, predictive, and prescriptive analytics to real-world business decisions. Additional support from WebAssign tools and author-created videos ensures deeper understanding and exam readiness—making this document an excellent study and revision companion.

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Complete Test Bank
Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics.
9th Edition


By Cliff Ragsdale



(Chapter 1-15, Answers Provided)




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, Answers are at the end of each chapter
chapter 1

Indicate whether the statement is true or false.

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

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
b. False

3. A mathematical model uses mathematical relationships to describe or represent an object or decision problem.
a. True
b. False

4. In spreadsheet modeling of a problem, there is no direct correspondence between mathematical equation and the



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spreadsheet.
a. True er
b. False
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5. Humans usually do not make errors in estimation due to anchoring and framing effects.
a. True
rt


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




b. False

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

,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.
d. will lead to developing the best model.

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

11. In a spreadsheet, input cells correspond conceptually to
a. dependent variables.
b. functions.
c. independent variables.



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

14. In a model Y=f(x1, x2), Y is called:
a. a dependent variable.
b. an independent variable.
c. a confounded variable.
d. a convoluted variable.

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:

, a. breaking down complex situations into manageable elements.
b. choosing the best course of action among alternatives.
c. finding the root cause of why something has gone wrong.
d. thinking ahead to avoid negative consequences.

17. A road map is an example of
a. a mathematical model.
b. a mental model.
c. a physical model.
d. a visual model.

18. The mathematical modeling approaches presented in the textbook
a. are a subset of the total problem-solving process.
b. cover the entire spectrum of decision support approaches.
c. are exhaustive.
d. are complementary.




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19. Operations Research got its start
a. during World War II. er
b. with the first Univac computers in the early 1950's.
c. from roots in Operations Management.
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d. from Frederick Taylor's Scientific Management.
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20. Anchoring occurs when:
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a. a trivial factor is used as a starting point for estimations in a decision-making problem.
b. a difficult factor is incorporated in a problem.
Ex




c. an easy solution is obtained to a difficult problem.
d. obtaining a solution is trivial.

21. Two of the effects associated with decision problems are:
a. anchoring and framing.
b. anchoring and loading.
c. framing and complacency.
d. anchoring and luck

22. In the textbook the words "opportunity" and "problem" are
a. disjoint.
b. used interchangeably.
c. mutually exclusive.
d. complementary.

23. A valid model:
a. accurately represents a decision problem being studied.
b. produces an optimal solution.

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