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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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This document serves as the instructor's guide for the first edition of Richardson and Watson's text, covering all 12 chapters. It introduces the SOAR Analytics Model (Specify the question, Obtain the data, Analyze the data, and Report the results) as a structured approach to solving business problems. Key educational components include: Data Lifecycle Management: Guidance on obtaining data from diverse business sources and applying basic statistics for diagnostic and descriptive analytics. Predictive & Prescriptive Analytics: Solutions for confirmatory analytics to forecast trends and recommend optimal business actions. Domain-Specific Analytics: Specialized chapters providing model solutions for Marketing, Accounting, Financial, and Operations Analytics. Data Visualization: Instructions on effectively reporting results through visual tools to aid managerial understanding. Advanced Analytics: Coverage of modern techniques such as Image Analytics and dynamic pricing models. Capstone Projects: Detailed support for implementing the SOAR model in comprehensive, real-world business scenarios.

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Institution
Introduction to Business Analytics
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Introduction to Business Analytics

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Uploaded on
December 19, 2025
Number of pages
197
Written in
2025/2026
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Exam (elaborations)
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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

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




TABLE OF CONTENTS
Chapter 1: Specify the Question: Using Business Analytics to Address Business Questions

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

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

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

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

Chapter 6: Report the Results: Using Data Visualization

Chapter 7: Marketing Analytics

Chapter 8: Accounting Analytics

Chapter 9: Financial Analytics

Chapter 10: Operations Analytics

Chapter 11: Advanced Business Analytics

Chapter 12: Using the SOAR Analytics Model to Put It All Together: Three Capstone Projects

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



Chapter 1 End-of-Chapter Assignment Solutions
Multiple Choice Questions
1. (LOA1.1)AAAcoordinated,AstandardizedAsetAofAactivitiesAconductedAbyAbothApeopleAandAequipmentAtoAaccomplish
AaAspecificAbusinessAtaskAisAcalled .
a. businessAprocesses
b. businessAanalysis
c. businessAprocedure
d. businessAvalue

2. (LOA1.2)AAccordingAtoAtheAinformationAvalueAchain,AdataAcombinedAwithAcontextAis
a. Information.
b. Knowledge.
c. Insight.
d. Value.

3. (LOA1.5)AWhichAphaseAofAtheASOARAanalyticsAmodelAaddressesAtheAproperAwayAtoAcommunicateAresultsAtoAt
heAdecisionAmaker?
a. SpecifyAtheAquestion
b. ObtainAtheAdata
c. AnalyzeAtheAdata
d. ReportAtheAresults

4. (LOA1.5)AWhichAphaseAofAtheASOARAanalyticsAmodelAinvolvesAfindingAtheAmostAappropriateAdataAneededAtoAaddre
ssAtheAbusinessAquestion?
a. SpecifyAtheAquestion
b. ObtainAtheAdata
c. AnalyzeAtheAdata
d. ReportAtheAresults

5. (LOA1.5)AWhichAquestionsAseekAinformationAaboutATesla’sAsalesAinAtheAnextAquarter?
a. WhatAhappened?AWhatAisAhappening?
b. WhyAdidAitAhappen?AWhatAareAtheAcausesAofApastAresults?
c. WillAitAhappenAinAtheAfuture?AWhatAisAtheAprobabilityAsomethingAwillAhappen?ACanAweAforecastAwh
atAwillAhappen?
d. WhatAshouldAweAdo,AbasedAonAwhatAweAexpectAwillAhappen?AHowAdoAweAoptimizeAourAperformanceAbas
edAonApotentialAconstraints?


6. (LOA1.5)AWhichAquestionsAseekAinformationAonAtheAroutingAofAproductsAfromAQueretaro,AMexicoAtoAChicag
o,AUnitedAStatesAinAtheAlastAquarter?
a. WhatAhappened?AWhatAisAhappening?
b. WhyAdidAitAhappen?AWhatAareAtheAcausesAofApastAresults?
c. WillAitAhappenAinAtheAfuture?AWhatAisAtheAprobabilityAsomethingAwillAhappen?ACanAweAforecastAwhatAw
illAhappen?
d. WhatAshouldAweAdo,AbasedAonAwhatAweAexpectAwillAhappen?AHowAdoAweAoptimizeAourAperformanceAbas
edAonApotentialAconstraints?

, Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions
7. (LOA1.5)AWhichAquestionsAaskAwhyAnetAincomeAisAincreasingAwhenArevenuesAareAdecreasing,AcounterA
toAexpectations?
a. WhatAhappened?AWhatAisAhappening?
b. WhyAdidAitAhappen?AWhatAareAtheAcausesAofApastAresults?
c. WillAitAhappenAinAtheAfuture?AWhatAisAtheAprobabilityAsomethingAwillAhappen?ACanAweAforecastAwhatAw
illAhappen?
d. WhatAshouldAweAdo,AbasedAonAwhatAweAexpectAwillAhappen?AHowAdoAweAoptimizeAourAperformanceAbas
edAonApotentialAconstraints?

8. (LOA1.5)AWhichAquestionsAhelpAmanagersAunderstandAhowAtoAorganizeAfutureAshipmentsAbasedAonAexpecte
dAdemand?
a. WhatAhappened?AWhatAisAhappening?
b. WhyAdidAitAhappen?AWhatAareAtheAcausesAofApastAresults?
c. WillAitAhappenAinAtheAfuture?AWhatAisAtheAprobabilityAsomethingAwillAhappen?ACanAweAforecastAwhatAw
illAhappen?
d. WhatAshouldAweAdo,AbasedAonAwhatAweAexpectAwillAhappen?AHowAdoAweAoptimizeAourAperforman
ceAbasedAonApotentialAconstraints?

9. (LOA1.5)AWhichAtermArefersAtoAtheAcombinedAaccuracy,Avalidity,AandAconsistencyAofAdataAstoredAandAusedAov
erAtime?
a. DataAintegrity
b. DataAoverload
c. DataAvalue
d. InformationAvalue

10. (LOA1.3)AAAspecialistAwhoAknowsAhowAtoAworkAwith,Amanipulate,AandAstatisticallyAtestAdataAisAa
a. decisionAmaker.
b. dataAscientist.
c. dataAanalyst.
d. decisionAscientist.

11. (LOA1.4)AWhichAtypeAofAanalystsApredictsAtheAamountAofAmoneyAthatAaAcompanyAwillAreceiveAfromAitsAcustomersA
toAhelpAmanagementAevaluateAfutureAinvestmentsAbasedAonAexpectedAinvestmentAperformance,AsuchAasAinvestm
entsAinAequipmentAorAemployeeAtraining?
a. MarketingAanalyst
b. OperationsAanalyst
c. FinancialAanalyst
d. AccountingAanalyst

12. (LOA1.4)AWhichAtypeAofAanalystAaddressesAquestionsAregardingAtaxAandAauditing?
a. MarketingAanalyst
b. OperationsAanalyst
c. FinancialAanalyst
d. AccountingAanalyst

13. (LOA1.5)ASupposeAaAcompanyAhasAtimelyAproductAreviewsAthatAareAavailableAwhenAneeded,AbutAtheAreviewsAa
reAbiased.ATheseAproductAreviewsAareAwhichAtypeAofAdata?
a. Reliable
b. Relevant
c. Curated
d. Consistent
©AMcGrawAHillALLC.AAllArightsAreserved.ANoAreproductionAorAdistributionAwithoutAtheApriorAwrittenAconsentAofAMcGrawAHillALLC.



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