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

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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