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Test Bank for Introduction to Business Analytics, 1st Edition By Vernon Richardson and Marcia Watson Verified Chapter's 1-12|Complete Guide A+

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Test Bank for Introduction to Business Analytics, 1st Edition By Vernon Richardson and Marcia Watson Verified Chapter's 1-12|Complete Guide A+

Institution
Introduction To Business Analytics
Course
Introduction to Business Analytics











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Institution
Introduction to Business Analytics
Course
Introduction to Business Analytics

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Uploaded on
May 24, 2025
Number of pages
205
Written in
2024/2025
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Exam (elaborations)
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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 jh jh jh




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 Analytics)
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Chapter 5: Analyze the Data: Confirmatory Business Analytics (Predictive Analytics and Prescriptive 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 jh jh jh jh




Multiple Choice Questions jh jh




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



b. business analysis jh



c. business procedure jh



d. business value jh




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 results to
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jh thedecision maker?
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a. Specify the question jh jh



b. Obtain the data jh jh



c. Analyze the data jh jh



d. Report the results jh jh




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



b. Obtain the data jh jh



c. Analyze the data jh jh



d. Report the results jh jh




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? jh jh jh jh



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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whatwill happen? jh jh jh



d. What should we do, based on what we expect will happen? How do we optimize our performance
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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? jh jh jh jh



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 what
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willhappen? jh jh



d. What should we do, based on what we expect will happen? How do we optimize our performance
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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, counter
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toexpectations?
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a. What happened? What is happening? jh jh jh jh



b. Why did it happen? What are the causes of past results? jh jh jh jh jh jh jh jh jh jh



c. Will it happen in the future? What is the probability something will happen? Can we forecast what
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willhappen? jh jh



d. What should we do, based on what we expect will happen? How do we optimize our performance
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basedon potential constraints?
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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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a. What happened? What is happening? jh jh jh jh



b. Why did it happen? What are the causes of past results? jh jh jh jh jh jh jh jh jh jh



c. Will it happen in the future? What is the probability something will happen? Can we forecast what
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willhappen? jh jh



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 used
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overtime?
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a. Data integrity jh




b. Data overload jh




c. Data value jh




d. Information value jh




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. jh




b. data scientist. jh




c. data analyst. jh




d. decision scientist. jh




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



b. Operations analyst jh



c. Financial analyst jh



d. Accounting analyst jh




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



b. Operations analyst jh



c. Financial analyst jh



d. Accounting analyst jh




13. (LO 1.5) Suppose a company has timely product reviews that are available when needed, but the reviews
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arebiased. These product reviews are which type of data?
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a. Reliable
b. Relevant
c. Curated
d. Consistent
© McGraw Hill LLC. All rights reserved. No reproduction or distribution without the prior written consent of McGraw Hill LLC.
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