Chaptersss 01sss –
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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, Chaptersss 01sss –
TABLEOFCONTENTS s s
Chapter 1: Specifys thesss Question:sss Usingsss Businesssss Analyticssss tosss Addresssss Businesssss Questions
Chapter 2: Obtains thesss Data:sss Ansss Introductionsss tosss Businesssss Datasss Sources
Chapters 3:sss Analyzesss thesss Data:sss Basicsss Statisticssss andsss Toolssss Requiredsss insss Businesssss Analytics
Chapters 4:s Analyzes thes Data:s Exploratorys Businesss Analyticss (Descriptives Analyticss ands DiagnosticsAnalytic
s)
Chapters 5:sss Analyzesss thesss Data:sss Confirmatorysss Businesssss Analyticssss (Predictivesss Analyticssss andsss Prescriptivses A
nalytics)
Chapter 6: Reports thesss Results:sss Usingsss Datasss Visualization
Chapter 7: Marketings Analytics
Chapter 8: Accountings Analytics
Chapter 9: Financials Analytics
Chapter 10: Operationss Analytics
Chapter 11: Advanceds Businesssss Analytics
Chapter 12: Usings thesss SOARsss Analyticssss Modelsss tosss Putsss Itsss Allsss Together:sss Threesss Capstonesss Projects
, Chaptersss 01sss –
Chapter 1 End-of-Chapter Assignment Solutions
s s s s
Multiples Choicesss Questions
1. (LOsss1.1)sssAssscoordinated,sssstandardizedssssetsssofsssactivitiesssssconductedsssbysssbothsssspeoplesssandsssequipmesnts tos
accomplishs as specifics businesss tasks iss called.
a. businesss processes
b. businesss analysis
c. businesss procedure
d. businesss value
2. (LOs 1.2)sss Accordingsss tosss thesss informationsssvaluesss chain,sss datasss combinedsss withsss contextsss is
a. Information.
b. Knowledge.
c. Insight.
d. Value.
3. (LOs 1.5)s Whichs phases ofs thes SOARs analyticss modelsss addressessss thesss propersss waysss tosss communsicates re
sultss tos thes decisions maker?
a. Specifys thesss question
b. Obtains thesss data
c. Analyzes thesss data
d. Reports thesss results
4. (LOs 1.5)s Whichs phases ofs thes SOARs analyticss models involvess findings thes mosts appropriatesss datasneededs t
os addresss thes businesss question?
a. Specifys thesss question
b. Obtains thesss data
c. Analyzes thesss data
d. Reports thesss results
5. (LOs 1.5)sss Whichsss questionssssseeksss informationsss aboutsss Tesla’ssss salessss insss thesss nextsss quarter?
a. Whats happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills its happens ins thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Canswes fo
recasts whats wills happen?
d. Whats shoulds wes do,s baseds ons whats wes expects wills happen?s Hows dos wes optimizes oursperformances
baseds ons potentials constraints?
6. (LOs 1.5)s Whichs questionss seeks informations ons thes routingsss ofsss productssss fromsss Queretaro,sss Msexicos t
os Chicago,s Uniteds Statess ins thes lasts quarter?
a. Whatsss happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills itsss happensss insss thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Cansss wses for
ecasts whats wills happen?
d. Whats shoulds wes do,s baseds ons whats wes expects wills happen?s Hows dos wes optimizes oursperformances
baseds ons potentials constraints?
, Chaptersss 01sss –
7. (LOs 1.5)s Whichs questionss asks whys nets incomes iss increasings whens revenuess aresss decrseasing,s
counters tos expectations?
a. Whats happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills itsss happensss insss thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Cansss wses for
ecasts whats wills happen?
d. Whats shoulds wes do,s baseds ons whats wes expects wills happen?s Hows dos wes optimizes oursperformances
baseds ons potentials constraints?
8. (LOs 1.5)s Whichs questionss helps managerssss understandsss howsss tosss organizesss futuresss shipmentssss basseds o
ns expecteds demand?
a. Whats happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills itsss happensss insss thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Cansss wses for
ecasts whats wills happen?
d. Whats shouldsss wesss do,sss basedsss onsss whatsss wesss expectsss willsss happen?sss Howsss dosss wesss optimizses ou
rs performances baseds ons potentials constraints?
9. (LOs 1.5)s Whichs terms referss tosss thesss combinedsss accuracy,sssvalidity,sss andsss consistencysss ofsss datasss stosreds an
ds useds overs time?
a. Datasss integrity
b. Datasss overload
c. Datas value
d. Informations value
10. (LOs 1.3)sss Asss specialistsss whosss knowssss howsss tosss worksss with,sss manipulate,sss andsss statisticallysss testsss datasssissss a
a. decisions maker.
b. datas scientist.
c. datas analyst.
d. decisions scientist.
11. (LOs 1.4)s Whichssstypesssofsssanalystsssspredictssssthesssamountsssofsssmoneysssthatsssassscompanyssswillsssreceivesssfsromsssitss
sscustomersssstos helpsssmanagementsssevaluatesssfuturessssinvestmentssssbasedsssonsssexpectedsssinvestmesnts performan
ce,s suchs ass investmentss ins equipments ors employees training?
a. Marketings analyst
b. Operationss analyst
c. Financials analyst
d. Accountings analyst
12. (LOs 1.4)sss Whichssstypesss ofsss analystsss addressessss questionssss regardingsss taxsss andsss auditing?
a. Marketings analyst
b. Operationss analyst
c. Financials analyst
d. Accountings analyst
13. (LOs 1.5)s Supposes as companys hassss timelysss productsss reviewssss thatsss aresss availablesss whensss needed,sbuts th
es reviewss ares biased.s Theses products reviewss ares whichs types ofs data?
a. Reliable
b. Relevant
c. Curated
d. Consistent
©sssMcGrawsssHillsssLLC.sssAllsssrightssssreserved.sssNosssreproductionsssorssssdistributionssswithoutssssthesssspriorsssswrittenssssconsentssssofsssMcsGr
aws Hills LLC.
4
Solution Manual for Introduction to Business Analytics,
po po po po po po po
1st Edition
po
By Vernon Richardson and Marcia Watson
po po po po po
Verified Chapter's 1 - 12 | Complete
po po po po po po
, Chaptersss 01sss –
TABLEOFCONTENTS s s
Chapter 1: Specifys thesss Question:sss Usingsss Businesssss Analyticssss tosss Addresssss Businesssss Questions
Chapter 2: Obtains thesss Data:sss Ansss Introductionsss tosss Businesssss Datasss Sources
Chapters 3:sss Analyzesss thesss Data:sss Basicsss Statisticssss andsss Toolssss Requiredsss insss Businesssss Analytics
Chapters 4:s Analyzes thes Data:s Exploratorys Businesss Analyticss (Descriptives Analyticss ands DiagnosticsAnalytic
s)
Chapters 5:sss Analyzesss thesss Data:sss Confirmatorysss Businesssss Analyticssss (Predictivesss Analyticssss andsss Prescriptivses A
nalytics)
Chapter 6: Reports thesss Results:sss Usingsss Datasss Visualization
Chapter 7: Marketings Analytics
Chapter 8: Accountings Analytics
Chapter 9: Financials Analytics
Chapter 10: Operationss Analytics
Chapter 11: Advanceds Businesssss Analytics
Chapter 12: Usings thesss SOARsss Analyticssss Modelsss tosss Putsss Itsss Allsss Together:sss Threesss Capstonesss Projects
, Chaptersss 01sss –
Chapter 1 End-of-Chapter Assignment Solutions
s s s s
Multiples Choicesss Questions
1. (LOsss1.1)sssAssscoordinated,sssstandardizedssssetsssofsssactivitiesssssconductedsssbysssbothsssspeoplesssandsssequipmesnts tos
accomplishs as specifics businesss tasks iss called.
a. businesss processes
b. businesss analysis
c. businesss procedure
d. businesss value
2. (LOs 1.2)sss Accordingsss tosss thesss informationsssvaluesss chain,sss datasss combinedsss withsss contextsss is
a. Information.
b. Knowledge.
c. Insight.
d. Value.
3. (LOs 1.5)s Whichs phases ofs thes SOARs analyticss modelsss addressessss thesss propersss waysss tosss communsicates re
sultss tos thes decisions maker?
a. Specifys thesss question
b. Obtains thesss data
c. Analyzes thesss data
d. Reports thesss results
4. (LOs 1.5)s Whichs phases ofs thes SOARs analyticss models involvess findings thes mosts appropriatesss datasneededs t
os addresss thes businesss question?
a. Specifys thesss question
b. Obtains thesss data
c. Analyzes thesss data
d. Reports thesss results
5. (LOs 1.5)sss Whichsss questionssssseeksss informationsss aboutsss Tesla’ssss salessss insss thesss nextsss quarter?
a. Whats happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills its happens ins thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Canswes fo
recasts whats wills happen?
d. Whats shoulds wes do,s baseds ons whats wes expects wills happen?s Hows dos wes optimizes oursperformances
baseds ons potentials constraints?
6. (LOs 1.5)s Whichs questionss seeks informations ons thes routingsss ofsss productssss fromsss Queretaro,sss Msexicos t
os Chicago,s Uniteds Statess ins thes lasts quarter?
a. Whatsss happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills itsss happensss insss thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Cansss wses for
ecasts whats wills happen?
d. Whats shoulds wes do,s baseds ons whats wes expects wills happen?s Hows dos wes optimizes oursperformances
baseds ons potentials constraints?
, Chaptersss 01sss –
7. (LOs 1.5)s Whichs questionss asks whys nets incomes iss increasings whens revenuess aresss decrseasing,s
counters tos expectations?
a. Whats happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills itsss happensss insss thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Cansss wses for
ecasts whats wills happen?
d. Whats shoulds wes do,s baseds ons whats wes expects wills happen?s Hows dos wes optimizes oursperformances
baseds ons potentials constraints?
8. (LOs 1.5)s Whichs questionss helps managerssss understandsss howsss tosss organizesss futuresss shipmentssss basseds o
ns expecteds demand?
a. Whats happened?sss Whatsss issss happening?
b. Whys didsss itsss happen?sss Whatsss aresss thesss causessss ofsss pastsss results?
c. Wills itsss happensss insss thesss future?sss Whatsss issss thesss probabilitysss somethingsss willsss happen?sss Cansss wses for
ecasts whats wills happen?
d. Whats shouldsss wesss do,sss basedsss onsss whatsss wesss expectsss willsss happen?sss Howsss dosss wesss optimizses ou
rs performances baseds ons potentials constraints?
9. (LOs 1.5)s Whichs terms referss tosss thesss combinedsss accuracy,sssvalidity,sss andsss consistencysss ofsss datasss stosreds an
ds useds overs time?
a. Datasss integrity
b. Datasss overload
c. Datas value
d. Informations value
10. (LOs 1.3)sss Asss specialistsss whosss knowssss howsss tosss worksss with,sss manipulate,sss andsss statisticallysss testsss datasssissss a
a. decisions maker.
b. datas scientist.
c. datas analyst.
d. decisions scientist.
11. (LOs 1.4)s Whichssstypesssofsssanalystsssspredictssssthesssamountsssofsssmoneysssthatsssassscompanyssswillsssreceivesssfsromsssitss
sscustomersssstos helpsssmanagementsssevaluatesssfuturessssinvestmentssssbasedsssonsssexpectedsssinvestmesnts performan
ce,s suchs ass investmentss ins equipments ors employees training?
a. Marketings analyst
b. Operationss analyst
c. Financials analyst
d. Accountings analyst
12. (LOs 1.4)sss Whichssstypesss ofsss analystsss addressessss questionssss regardingsss taxsss andsss auditing?
a. Marketings analyst
b. Operationss analyst
c. Financials analyst
d. Accountings analyst
13. (LOs 1.5)s Supposes as companys hassss timelysss productsss reviewssss thatsss aresss availablesss whensss needed,sbuts th
es reviewss ares biased.s Theses products reviewss ares whichs types ofs data?
a. Reliable
b. Relevant
c. Curated
d. Consistent
©sssMcGrawsssHillsssLLC.sssAllsssrightssssreserved.sssNosssreproductionsssorssssdistributionssswithoutssssthesssspriorsssswrittenssssconsentssssofsssMcsGr
aws Hills LLC.
4
