TEST BANK
Business Analytics: Data Analysis & Decision Making, 6th Edition
By S. Albright, Wayne Winston
LU
XE
LI
BR
AR
Y
, TABLE OF CONTENT
Chapter 1. Introduction to Business Analytics
Part 1. Exploring Data
Chapter 2. Describing the Distribution of a Single Variable
Chapter 3. Finding Relationships among Variables
Part 2. Probability and Decision Making under Uncertainty
Chapter 4. Probability and Probability Distributions
Chapter 5. Normal, Binomial, Poisson, and Exponential Distributions
Chapter 6. Decision Making under Uncertainty
LU
Part 3. Statistical Inference
Chapter 7. Sampling and Sampling Distributions
Chapter 8. Confidence Interval Estimation
Chapter 9. Hypothesis Testing
XE
Part 4. Regression Analysis and Time Series Forecasting
Chapter 10. Regression Analysis: Estimating Relationships
Chapter 11. Regression Analysis: Statistical Inference
Chapter 12. Time Series Analysis and Forecasting
Part 5. Optimization and Simulation Modeling
LI
Chapter 13. Introduction to Optimization Modeling
Chapter 14. Optimization Models
Chapter 15. Introduction to Simulation Modeling
BR
Chapter 16. Simulation Models
Part 6. Advanced Data Analysis
Chapter 17. Data Mining
Introduction to Spreadsheet Modeling
AR
Part 7. Bonus Online Material
Chapter 18. Importing Data into Excel
Chapter 19. Analysis of Variance and Experimental Design
Chapter 20. Statistical Process Control
Y
,Ch1
1. The decision-making themes covered in Business Analytics: Data Analysis & Decision Making include which of the
following?
a. optimization techniques b. decision analysis with uncertainty
c. 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
LU
2. Which statement is not true?
a. Dealing with uncertainty includes measuring uncertainty.
b. Dealing with uncertainty includes modeling uncertainty explicitly into the analysis.
c. Dealing with uncertainty includes eliminating uncertainty by using the normal probability distribution.
d. Dealing with uncertainty requires a basic understanding of probability.
XE
ANSWER: c
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
LI
3. What is not one of the important themes of your Business Analytics: Data Analysis & Decision Making text?
a. data analysis b. dealing with uncertainty
c. decision making d. data mining
BR
ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
AR
4. Data analysis includes:
a. data description b. data inference
c. the search for relationships in data d. all of these choices
ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
Y
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
5. Which of the following is not one of the steps in the modeling process?
a. Select the scale for the model.
b. Collect and summarize data.
c. Verify the model.
d. Present the results.
e. Implement the model and update it through time.
Copyright Cengage Learning. Powered by Cognero. Page 1
, Ch1
ANSWER: a
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
6. Which of the following would not be included under data analysis?
a. measuring uncertainty b. data description
c. data inference d. search for relationships
ANSWER: a
LU
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
XE
7. The decision making process includes:
a. optimization techniques for problems with no uncertainty
b. decision analysis for problems with uncertainty
c. sensitivity analysis
d. all of these choices
ANSWER: d
LI
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
TOPICS: A-Head: 1.2 Overview of the Book
BR
OTHER: BUSPROG: Analytic | DISC: Decision Making
8. Which tool is an Excel® add-in for performing what-if analyses?
a. PrecisionTree
b. TopRank
c. Solver
AR
d. @Risk
e. StatTools
ANSWER: b
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension
Y
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
9. Which of the following statements are true?
a. Three important themes run through the book: data analysis, decision making, and uncertainty.
b. Data analysis includes data description, data inference, and the searching for relationships in data
c. Decision making includes optimization techniques for problems with no uncertainty, decision analysis for
problems with uncertainty, and structured sensitivity analysis.
d. Dealing with uncertainty includes measuring uncertainty and modeling uncertainty explicitly into the analysis.
Copyright Cengage Learning. Powered by Cognero. Page 2
Business Analytics: Data Analysis & Decision Making, 6th Edition
By S. Albright, Wayne Winston
LU
XE
LI
BR
AR
Y
, TABLE OF CONTENT
Chapter 1. Introduction to Business Analytics
Part 1. Exploring Data
Chapter 2. Describing the Distribution of a Single Variable
Chapter 3. Finding Relationships among Variables
Part 2. Probability and Decision Making under Uncertainty
Chapter 4. Probability and Probability Distributions
Chapter 5. Normal, Binomial, Poisson, and Exponential Distributions
Chapter 6. Decision Making under Uncertainty
LU
Part 3. Statistical Inference
Chapter 7. Sampling and Sampling Distributions
Chapter 8. Confidence Interval Estimation
Chapter 9. Hypothesis Testing
XE
Part 4. Regression Analysis and Time Series Forecasting
Chapter 10. Regression Analysis: Estimating Relationships
Chapter 11. Regression Analysis: Statistical Inference
Chapter 12. Time Series Analysis and Forecasting
Part 5. Optimization and Simulation Modeling
LI
Chapter 13. Introduction to Optimization Modeling
Chapter 14. Optimization Models
Chapter 15. Introduction to Simulation Modeling
BR
Chapter 16. Simulation Models
Part 6. Advanced Data Analysis
Chapter 17. Data Mining
Introduction to Spreadsheet Modeling
AR
Part 7. Bonus Online Material
Chapter 18. Importing Data into Excel
Chapter 19. Analysis of Variance and Experimental Design
Chapter 20. Statistical Process Control
Y
,Ch1
1. The decision-making themes covered in Business Analytics: Data Analysis & Decision Making include which of the
following?
a. optimization techniques b. decision analysis with uncertainty
c. 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
LU
2. Which statement is not true?
a. Dealing with uncertainty includes measuring uncertainty.
b. Dealing with uncertainty includes modeling uncertainty explicitly into the analysis.
c. Dealing with uncertainty includes eliminating uncertainty by using the normal probability distribution.
d. Dealing with uncertainty requires a basic understanding of probability.
XE
ANSWER: c
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
LI
3. What is not one of the important themes of your Business Analytics: Data Analysis & Decision Making text?
a. data analysis b. dealing with uncertainty
c. decision making d. data mining
BR
ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
AR
4. Data analysis includes:
a. data description b. data inference
c. the search for relationships in data d. all of these choices
ANSWER: d
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
Y
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
5. Which of the following is not one of the steps in the modeling process?
a. Select the scale for the model.
b. Collect and summarize data.
c. Verify the model.
d. Present the results.
e. Implement the model and update it through time.
Copyright Cengage Learning. Powered by Cognero. Page 1
, Ch1
ANSWER: a
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
6. Which of the following would not be included under data analysis?
a. measuring uncertainty b. data description
c. data inference d. search for relationships
ANSWER: a
LU
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
XE
7. The decision making process includes:
a. optimization techniques for problems with no uncertainty
b. decision analysis for problems with uncertainty
c. sensitivity analysis
d. all of these choices
ANSWER: d
LI
POINTS: 1
DIFFICULTY: Easy | Bloom's: Knowledge
TOPICS: A-Head: 1.2 Overview of the Book
BR
OTHER: BUSPROG: Analytic | DISC: Decision Making
8. Which tool is an Excel® add-in for performing what-if analyses?
a. PrecisionTree
b. TopRank
c. Solver
AR
d. @Risk
e. StatTools
ANSWER: b
POINTS: 1
DIFFICULTY: Easy | Bloom's: Comprehension
Y
TOPICS: A-Head: 1.2 Overview of the Book
OTHER: BUSPROG: Analytic | DISC: Decision Making
9. Which of the following statements are true?
a. Three important themes run through the book: data analysis, decision making, and uncertainty.
b. Data analysis includes data description, data inference, and the searching for relationships in data
c. Decision making includes optimization techniques for problems with no uncertainty, decision analysis for
problems with uncertainty, and structured sensitivity analysis.
d. Dealing with uncertainty includes measuring uncertainty and modeling uncertainty explicitly into the analysis.
Copyright Cengage Learning. Powered by Cognero. Page 2
