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

Chapterg01g–
gSpecifygthegQuestion:gUsinggBusinessgAnalyticsgtogAddressgBusinessgQuestions


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

, Chapterg01g–
gSpecifygthegQuestion:gUsinggBusinessgAnalyticsgtogAddressgBusinessgQuestions




TABLE OF CONTENTS g g g




Chapterg1:gSpecifygthegQuestion:gUsinggBusinessgAnalyticsgtogAddressgBusinessgQuestionsgg

Chapterg2:gObtaingthegData:gAngIntroductiongtogBusinessgDatagSourcesgg

Chapterg3:gAnalyzegthegData:gBasicgStatisticsgandgToolsgRequiredgingBusinessgAnalyticsgg

Chapterg4:gAnalyzegthegData:gExploratorygBusinessgAnalyticsg(DescriptivegAnalyticsgandgDiagnosticgAnalytics)gg

Chapterg5:gAnalyzegthegData:gConfirmatorygBusinessgAnalyticsg(PredictivegAnalyticsgandgPrescriptivegAnalytics)gg

Chapterg6:gReportgthegResults:gUsinggDatagVisualizationgg

Chapterg7:gMarketinggAnalyticsgg

Chapterg8:gAccountinggAnalyticsgg

Chapterg9:gFinancialgAnalyticsgg

Chapterg10:gOperationsgAnalyticsgg

Chapterg11:gAdvancedgBusinessgAnalyticsgg

Chapterg12:gUsinggthegSOARgAnalyticsgModelgtogPutgItgAllgTogether:gThreegCapstonegProjectsgg

, Chapterg01g–
gSpecifygthegQuestion:gUsinggBusinessgAnalyticsgtogAddressgBusinessgQuestions



Chapter 1 End-of-Chapter Assignment Solutions
g g g g




MultiplegChoicegQuestions
1. (LOg1.1)gAgcoordinated,gstandardizedgsetgofgactivitiesgconductedgbygbothgpeoplegandgequipmentgtogaccomplishg
agspecificgbusinessgtaskgisgcalled .
a. businessgprocesses
b. businessganalysis
c. businessgprocedure
d. businessgvalue

2. (LOg1.2)gAccordinggtogtheginformationgvaluegchain,gdatagcombinedgwithgcontextgis
a. Information.
b. Knowledge.
c. Insight.
d. Value.

3. (LOg1.5)gWhichgphasegofgthegSOARganalyticsgmodelgaddressesgthegpropergwaygtogcommunicategresultsgtogt
hegdecisiongmaker?
a. Specifygthegquestion
b. Obtaingthegdata
c. Analyzegthegdata
d. Reportgthegresults

4. (LOg1.5)gWhichgphasegofgthegSOARganalyticsgmodelginvolvesgfindinggthegmostgappropriategdatagneededgtogaddre
ssgthegbusinessgquestion?
a. Specifygthegquestion
b. Obtaingthegdata
c. Analyzegthegdata
d. Reportgthegresults

5. (LOg1.5)gWhichgquestionsgseekginformationgaboutgTesla’sgsalesgingthegnextgquarter?
a. Whatghappened?gWhatgisghappening?
b. Whygdidgitghappen?gWhatgaregthegcausesgofgpastgresults?
c. Willgitghappengingthegfuture?gWhatgisgthegprobabilitygsomethinggwillghappen?gCangwegforecastgwha
tgwillghappen?
d. Whatgshouldgwegdo,gbasedgongwhatgwegexpectgwillghappen?gHowgdogwegoptimizegourgperformancegbase
dgongpotentialgconstraints?


6. (LOg1.5)gWhichgquestionsgseekginformationgongthegroutinggofgproductsgfromgQueretaro,gMexicogtogChicag
o,gUnitedgStatesgingtheglastgquarter?
a. Whatghappened?gWhatgisghappening?
b. Whygdidgitghappen?gWhatgaregthegcausesgofgpastgresults?
c. Willgitghappengingthegfuture?gWhatgisgthegprobabilitygsomethinggwillghappen?gCangwegforecastgwhatgw
illghappen?
d. Whatgshouldgwegdo,gbasedgongwhatgwegexpectgwillghappen?gHowgdogwegoptimizegourgperformancegbase
dgongpotentialgconstraints?

, Chapterg01g–
gSpecifygthegQuestion:gUsinggBusinessgAnalyticsgtogAddressgBusinessgQuestions
7. (LOg1.5)gWhichgquestionsgaskgwhygnetgincomegisgincreasinggwhengrevenuesgaregdecreasing,gcountergt
ogexpectations?
a. Whatghappened?gWhatgisghappening?
b. Whygdidgitghappen?gWhatgaregthegcausesgofgpastgresults?
c. Willgitghappengingthegfuture?gWhatgisgthegprobabilitygsomethinggwillghappen?gCangwegforecastgwhatgw
illghappen?
d. Whatgshouldgwegdo,gbasedgongwhatgwegexpectgwillghappen?gHowgdogwegoptimizegourgperformancegbase
dgongpotentialgconstraints?

8. (LOg1.5)gWhichgquestionsghelpgmanagersgunderstandghowgtogorganizegfuturegshipmentsgbasedgongexpecte
dgdemand?
a. Whatghappened?gWhatgisghappening?
b. Whygdidgitghappen?gWhatgaregthegcausesgofgpastgresults?
c. Willgitghappengingthegfuture?gWhatgisgthegprobabilitygsomethinggwillghappen?gCangwegforecastgwhatgw
illghappen?
d. Whatgshouldgwegdo,gbasedgongwhatgwegexpectgwillghappen?gHowgdogwegoptimizegourgperformanc
egbasedgongpotentialgconstraints?

9. (LOg1.5)gWhichgtermgrefersgtogthegcombinedgaccuracy,gvalidity,gandgconsistencygofgdatagstoredgandgusedgov
ergtime?
a. Datagintegrity
b. Datagoverload
c. Datagvalue
d. Informationgvalue

10. (LOg1.3)gAgspecialistgwhogknowsghowgtogworkgwith,gmanipulate,gandgstatisticallygtestgdatagisga
a. decisiongmaker.
b. datagscientist.
c. dataganalyst.
d. decisiongscientist.

11. (LOg1.4)gWhichgtypegofganalystsgpredictsgthegamountgofgmoneygthatgagcompanygwillgreceivegfromgitsgcustomersgt
oghelpgmanagementgevaluategfutureginvestmentsgbasedgongexpectedginvestmentgperformance,gsuchgasginvestme
ntsgingequipmentgorgemployeegtraining?
a. Marketingganalyst
b. Operationsganalyst
c. Financialganalyst
d. Accountingganalyst

12. (LOg1.4)gWhichgtypegofganalystgaddressesgquestionsgregardinggtaxgandgauditing?
a. Marketingganalyst
b. Operationsganalyst
c. Financialganalyst
d. Accountingganalyst

13. (LOg1.5)gSupposegagcompanyghasgtimelygproductgreviewsgthatgaregavailablegwhengneeded,gbutgthegreviewsga
regbiased.gThesegproductgreviewsgaregwhichgtypegofgdata?
a. Reliable
b. Relevant
c. Curated
d. Consistent
©gMcGrawgHillgLLC.gAllgrightsgreserved.gNogreproductiongorgdistributiongwithoutgthegpriorgwrittengconsentgofgMcGrawgHillgLLC.



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