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Solution Manual for Introduction to Business Analytics, 1st Edition by Vernon Richardson & Marcia Watson

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Solution Manual for Introduction to Business Analytics, 1st Edition by Vernon Richardson & Marcia Watson

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ion
introduction
manual
Solution
for
tointroduction
business
manualanalytics
for
tointroduction
business
1st edition
analytics
to business
by vernon
1st edition
analytics
richardson
by vernon
1st edition
andrichardson
marcia
by vernon
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
andrichardson
marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH



Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions


Solution Manual for Introduction to Business Analytics,
1st Edition
By Vernon Richardson and Marcia Watson
Verified Chapter's 1 - 12 | Complete




ion
introduction
manual
10/1/2026,
for
tointroduction
business
6:13:15
analytics
toAMSolution
business
1st edition
analytics
manualby vernon
for
1st introduction
edition
richardson
by vernon
to business
andrichardson
marcia
analytics
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
and 1st
marcia
edition
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
by vernon richardson and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GES

,ion
introduction
manual
Solution
for
tointroduction
business
manualanalytics
for
tointroduction
business
1st edition
analytics
to business
by vernon
1st edition
analytics
richardson
by vernon
1st edition
andrichardson
marcia
by vernon
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
andrichardson
marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH



Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions




TABLE OF CONTENTS Qg Qg Qg




Chapter 1: Specify the Question: Using Business Analytics to Address Business Questions
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg




Chapter 2: Obtain the Data: An Introduction to Business Data Sources
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg




Chapter 3: Analyze the Data: Basic Statistics and Tools Required in Business Analytics
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg




Chapter 4: Analyze the Data: Exploratory Business Analytics (Descriptive Analytics and Diagnostic
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Analytics)
Qg Qg Qg




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


Analytics)
Qg Qg Qg




Chapter 6: Report the Results: Using Data Visualization
Qg Qg Qg Qg Qg Qg Qg Qg Qg




Chapter 7: Marketing Analytics
Qg Qg Qg Qg Qg




Chapter 8: Accounting Analytics
Qg Qg Qg Qg Qg




Chapter 9: Financial Analytics
Qg Qg Qg Qg Qg




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
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg




ion
introduction
manual
10/1/2026,
for
tointroduction
business
6:13:15
analytics
toAMSolution
business
1st edition
analytics
manualby vernon
for
1st introduction
edition
richardson
by vernon
to business
andrichardson
marcia
analytics
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
and 1st
marcia
edition
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
by vernon richardson and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GES

,ion
introduction
manual
Solution
for
tointroduction
business
manualanalytics
for
tointroduction
business
1st edition
analytics
to business
by vernon
1st edition
analytics
richardson
by vernon
1st edition
andrichardson
marcia
by vernon
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
andrichardson
marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH



Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions



Chapter 1 End-of-Chapter Assignment Solutions
Qg Qg Qg Qg




Multiple Choice Questions
Qg Qg




1. (LO 1.1) A coordinated, standardized set of activities conducted by both people and equipment to
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


accomplish aspecific business task is called .
Qg Qg Q
g Qg Qg Qg Qg


a. business processes Qg


b. business analysis Qg


c. business procedure Qg


d. business value Qg




2. (LO 1.2) According to the information value chain, data combined with context is
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


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
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


Qgresults to thedecision maker?
Qg Qg Q
g Qg


a. Specify the question Qg Qg


b. Obtain the data Qg Qg


c. Analyze the data Qg Qg


d. Report the results Qg Qg




4. (LO 1.5) Which phase of the SOAR analytics model involves finding the most appropriate data needed
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


to addressthe business question?
Qg Qg Q
g Qg Qg


a. Specify the question Qg Qg


b. Obtain the data Qg Qg


c. Analyze the data Qg Qg


d. Report the results Qg Qg




5. (LO 1.5) Which questions seek information about Tesla’s sales in the next quarter?
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


a. What happened? What is happening?
Qg Qg Qg Qg


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


c. Will it happen in the future? What is the probability something will happen? Can we
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


forecast whatwill happen?
Qg Qg Q
g Qg


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


performance basedon potential constraints?
Qg Qg Q
g Qg Qg




6. (LO 1.5) Which questions seek information on the routing of products from Queretaro, Mexico to
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


Chicago,United States in the last quarter?
Qg Q
g Qg Qg Qg Qg Qg


a. What happened? What is happening?
Qg Qg Qg Qg


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


c. Will it happen in the future? What is the probability something will happen? Can we
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


forecast what willhappen?
Qg Qg Qg Q
g


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


performance basedon potential constraints?
Qg Qg Q
g Qg Qg




ion
introduction
manual
10/1/2026,
for
tointroduction
business
6:13:15
analytics
toAMSolution
business
1st edition
analytics
manualby vernon
for
1st introduction
edition
richardson
by vernon
to business
andrichardson
marcia
analytics
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
and 1st
marcia
edition
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
by vernon richardson and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GES

,ion
introduction
manual
Solution
for
tointroduction
business
manualanalytics
for
tointroduction
business
1st edition
analytics
to business
by vernon
1st edition
analytics
richardson
by vernon
1st edition
andrichardson
marcia
by vernon
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
andrichardson
marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH



Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions
7. (LO 1.5) Which questions ask why net income is increasing when revenues are decreasing,
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


counter toexpectations?
Qg Qg Q
g


a. What happened? What is happening? Qg Qg Qg Qg


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


c. Will it happen in the future? What is the probability something will happen? Can we
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


forecast what willhappen?
Qg Qg Qg Q
g


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


performance basedon potential constraints?
Qg Qg Q
g Qg Qg




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


expecteddemand?
Qg Q
g


a. What happened? What is happening? Qg Qg Qg Qg


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


c. Will it happen in the future? What is the probability something will happen? Can we
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


forecast what willhappen?
Qg Qg Qg Q
g


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


performancebased on potential constraints?
Qg Q
g Qg Qg Qg




9. (LO 1.5) Which term refers to the combined accuracy, validity, and consistency of data stored and
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


Qgused overtime?
Qg Q
g


a. Data integrity Qg


b. Data overload Qg


c. Data value Qg


d. Information value Qg




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


a. decision maker. Qg


b. data scientist. Qg


c. data analyst. Qg


d. decision scientist. Qg




11. (LO 1.4) Which type of analysts predicts the amount of money that a company will receive from its
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


customers tohelp management evaluate future investments based on expected investment
Qg Qg Q
g Qg Qg Qg Qg Qg Qg Qg Qg


performance, such as investments in equipment or employee training?
Qg Qg Qg Qg Qg Qg Qg Qg Qg


a. Marketing analyst Qg


b. Operations analyst Qg


c. Financial analyst Qg


d. Accounting analyst Qg




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


a. Marketing analyst Qg


b. Operations analyst Qg


c. Financial analyst Qg


d. Accounting analyst Qg




13. (LO 1.5) Suppose a company has timely product reviews that are available when needed, but the
Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg Qg


reviews arebiased. These product reviews are which type of data?
Qg Qg Q
g Qg Qg Qg Qg Qg Qg Qg Qg


a. Reliable
b. Relevant
c. Curated
d. Consistent
© QgMcGraw QgHill QgLLC. QgAll Qgrights Qgreserved. QgNo Qgreproduction Qgor Qgdistribution Qgwithout Qgthe Qgprior Qgwritten Qgconsent Qgof QgMcGraw QgHill
QgLLC.




4
ion
introduction
manual
10/1/2026,
for
tointroduction
business
6:13:15
analytics
toAMSolution
business
1st edition
analytics
manualby vernon
for
1st introduction
edition
richardson
by vernon
to business
andrichardson
marcia
analytics
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@(o8
and 1st
marcia
edition
watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GESMSS*(@U(*UE@&*EH*HJE@&EH*@
by vernon richardson and marcia watson.pdfY!G*EIH(*#Y!(*#Y#*!#!&**#*GES

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