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Solution Manual for Introduction to Business Analytics, 1st Edition By Vernon Richardson and Marcia Watson, Verified Chapters 1 - 12, Complete Newest Version

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Solution Manual for Introduction to Business Analytics, 1st Edition By Vernon Richardson and Marcia Watson, Verified Chapters 1 - 12, Complete Newest Version

Institution
Introduction To Business Analytics, 1st Edition
Course
Introduction to Business Analytics, 1st Edition











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Institution
Introduction to Business Analytics, 1st Edition
Course
Introduction to Business Analytics, 1st Edition

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Uploaded on
January 21, 2026
Number of pages
248
Written in
2025/2026
Type
Exam (elaborations)
Contains
Questions & answers

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  • 1st edition

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Chapter 01 – Specify the Question: Using Business Analytics to Address Business
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Questions
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Solution Manual for Introduction to Business Analytics,
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1st Edition
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By Vernon Richardson and Marcia Watson
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Verified Chapter's 1 - 12 | Complete
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, Chapter 01 – Specify the Question: Using Business Analytics to Address Business
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Questions
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TABLE OF CONTENTS bn bn bn




Chapter 1: Specify the Question: Using Business Analytics to Address Business Questions
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Chapter 2: Obtain the Data: An Introduction to Business Data Sources
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Chapter 3: Analyze the Data: Basic Statistics and Tools Required in Business Analytics
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Chapter 4: Analyze the Data: Exploratory Business Analytics (Descriptive Analytics and Diagnostic
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Analytics)
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Chapter 5: Analyze the Data: Confirmatory Business Analytics (Predictive Analytics and Prescriptive
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Analytics)
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Chapter 6: Report the Results: Using Data Visualization
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Chapter 7: Marketing Analytics
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Chapter 8: Accounting Analytics
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Chapter 9: Financial Analytics
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Chapter 10: Operations Analytics
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Chapter 11: Advanced Business Analytics
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Chapter 12: Using the SOAR Analytics Model to Put It All Together: Three Capstone Projects
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, Chapter 01 – Specify the Question: Using Business Analytics to Address Business
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Questions
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Chapter 1 End-of-Chapter Assignment Solutions bn bn bn bn




Multiple Choice Questions
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1. (LO 1.1) A coordinated, standardized set of activities conducted by both people and equipment to
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accomplish aspecific business task is called
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n
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a. business processes bn


b. business analysis bn


c. business procedure bn


d. business value bn




2. (LO 1.2) According to the information value chain, data combined with context is
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a. Information.
b. Knowledge.
c. Insight.
d. Value.

3. (LO 1.5) Which phase of the SOAR analytics model addresses the proper way to communicate
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bnresults to thedecision maker?
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a. Specify the question bn bn


b. Obtain the data bn bn


c. Analyze the data bn bn


d. Report the results bn bn




4. (LO 1.5) Which phase of the SOAR analytics model involves finding the most appropriate data needed
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to addressthe business question?
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a. Specify the question bn bn


b. Obtain the data bn bn


c. Analyze the data bn bn


d. Report the results bn bn




5. (LO 1.5) Which questions seek information about Tesla’s sales in the next quarter?
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a. What happened? What is happening? bn bn bn bn


b. Why did it happen? What are the causes of past results?
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c. Will it happen in the future? What is the probability something will happen? Can we
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forecast whatwill happen?
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b bn


d. What should we do, based on what we expect will happen? How do we optimize our
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performance basedon potential constraints?
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6. (LO 1.5) Which questions seek information on the routing of products from Queretaro, Mexico to
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Chicago,United States in the last quarter?
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a. What happened? What is happening? bn bn bn bn


b. Why did it happen? What are the causes of past results?
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c. Will it happen in the future? What is the probability something will happen? Can we forecast
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what willhappen?
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b


d. What should we do, based on what we expect will happen? How do we optimize our
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performance basedon potential constraints?
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, Chapter 01 – Specify the Question: Using Business Analytics to Address Business
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Questions
7. (LO 1.5) Which questions ask why net income is increasing when revenues are decreasing,
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counter toexpectations?
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b


a. What happened? What is happening? bn bn bn bn


b. Why did it happen? What are the causes of past results?
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c. Will it happen in the future? What is the probability something will happen? Can we forecast
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what willhappen?
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b


d. What should we do, based on what we expect will happen? How do we optimize our
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performance basedon potential constraints?
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b bn bn




8. (LO 1.5) Which questions help managers understand how to organize future shipments based on
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expecteddemand?
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b


a. What happened? What is happening? bn bn bn bn


b. Why did it happen? What are the causes of past results?
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c. Will it happen in the future? What is the probability something will happen? Can we forecast
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what willhappen?
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b


d. What should we do, based on what we expect will happen? How do we optimize our
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performancebased on potential constraints?
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9. (LO 1.5) Which term refers to the combined accuracy, validity, and consistency of data stored and
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bnused overtime?
bn n
b


a. Data integrity bn



b. Data overload bn


c. Data value bn



d. Information value bn




10. (LO 1.3) A specialist who knows how to work with, manipulate, and statistically test data is a
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a. decision maker. bn


b. data scientist. bn


c. data analyst. bn


d. decision scientist. bn




11. (LO 1.4) Which type of analysts predicts the amount of money that a company will receive from its
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customers tohelp management evaluate future investments based on expected investment performance,
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such as investments in equipment or employee training?
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a. Marketing analyst bn


b. Operations analyst bn


c. Financial analyst bn


d. Accounting analyst bn




12. (LO 1.4) Which type of analyst addresses questions regarding tax and auditing?
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a. Marketing analyst bn


b. Operations analyst bn


c. Financial analyst bn


d. Accounting analyst bn




13. (LO 1.5) Suppose a company has timely product reviews that are available when needed, but the
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reviews arebiased. These product reviews are which type of data?
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a. Reliable
b. Relevant
c. Curated
d. Consistent
© bnMcGraw bnHill bnLLC. bnAll bnrights bnreserved. bnNo bnreproduction bnor bndistribution bnwithout bnthe bnprior bnwritten bnconsent bnof bnMcGraw bnHill bnLLC.



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