TABLE OF CONTENTS
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, Chapter 1. Introduction to Business Analytics
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Chapter 2. Describing the Distribution of a Variable
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Chapter 3. Finding Relationships among Variables
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Chapter 4. Business Intelligence (BI) Tools for Data Analysis
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Chapter 5. Probability and Probability Distributions
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Chapter 6. Decision Making under Uncertainty
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Chapter 7. Sampling and Sampling Distributions
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Chapter 8. Confidence Interval Estimation
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Chapter 9. Hypothesis Testing
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Chapter 10. Regression Analysis: Estimating Relationships
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Chapter 11. Regression Analysis: Statistical Inference
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Chapter 12. Time Series Analysis and Forecasting
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Chapter 13. Introduction to Optimization Modeling
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Chapter 14. Optimization Models
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Chapter 15. Introduction to Simulation Modeling
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Chapter 16. Simulation Models
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Chapter 17. Data Mining
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Chapter 18. Analysis of Variance and Experimental Design
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Chapter 19. Statistical Process Control
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Chapter 1. Introduction to Business Analytics
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1. The decision-
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making themes covered in Business Analytics: Data Analysis & Decision Making include which of the
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a. optimization techniques b. decision analysis with uncertainty
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c. structured sensitivity analysis
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ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
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,TOPICS: A-Head: 1-2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
2. Which statement is not true?
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a. Dealing with uncertainty includes measuring uncertainty.
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b. Dealing with uncertainty includes modeling uncertainty explicitly into the analysis.
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c. Dealing with uncertainty includes eliminating uncertainty by using the normal probability distribution.
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d. Dealing with uncertainty requires a basic understanding of probability.
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ANSWER: c
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge a s as as as
TOPICS: A-Head: 1.2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
3. What is not one of the important themes of your Business Analytics: Data Analysis & Decision Making text?
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a. data analysis b. dealing with uncertainty
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c. decision making
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ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge a s as as as
TOPICS: A-Head: 1.2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
4. Data analysis includes:
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a. data description as b. data inference as as
c. the search for relationships in data
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ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge a s as as as
TOPICS: A-Head: 1.2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
5. Which of the following is not one of the steps in the modeling process?
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a. Select the scale for the model.
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b. Collect and summarize data. as as as
, c. Verify the model. as as
d. Present the results. as as
e. Implement the model and update it through time. as as as as as as as
ANSWER: a
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension a s as as as
TOPICS: A-Head: 1.2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
6. Which of the following would not be included under data analysis?
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a. measuring uncertainty b. data description as as as
c. data inference
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ANSWER: a
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension a s as as as
TOPICS: A-Head: 1.2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
7. The decision making process includes:
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a. optimization techniques for problems with no uncertainty as as as as as as
b. decision analysis for problems with uncertainty
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c. sensitivity analysis as
d. all of these choices
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ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge a s as as as
TOPICS: A-Head: 1.2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
8. Which tool is an Excel add-in for performing what-if analyses?
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®
a. PrecisionTree
b. TopRank
c. Solver
d. @Risk
e. StatTools
ANSWER: b
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension a s as as as
TOPICS: A-Head: 1.2 Overview of the Book as as as as as
OTHER: BUSPROG: Analytic | DISC: Decision Making as as as as as
9. Which of the following statements are true?
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a. Three important themes run through the book: data analysis, decision making, and uncertainty.
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b. Data analysis includes data description, data inference, and the searching for relationships in data
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c. Decision making includes optimization techniques for problems with no uncertainty, decision analysis for
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a s problems with uncertainty, and structured sensitivity analysis.
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