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