Chapter g01 g– gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness
gQuestions
Solution Manual for Introduction to Business Analytics,
g g g g g g g
1st Edition
g
By Vernon Richardson and Marcia Watson
g g g g g
Verified Chapter's 1 - 12 | Complete
g g g g g g
, Chapter g01 g– gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness
gQuestions
TABLE OF CONTENTS g g g
Chapter g1: gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness gQuestions g g
Chapter g2: gObtain gthe gData: gAn gIntroduction gto gBusiness gData gSources g g
Chapter g3: gAnalyze gthe gData: gBasic gStatistics gand gTools gRequired gin gBusiness gAnalytics g g
Chapter g4: gAnalyze gthe gData: gExploratory gBusiness gAnalytics g(Descriptive gAnalytics gand gDiagnostic gAnalytics) g g
Chapter g5: gAnalyze gthe gData: gConfirmatory gBusiness gAnalytics g(Predictive gAnalytics gand gPrescriptive
gAnalytics) g g
Chapter g6: gReport gthe gResults: gUsing gData gVisualization g g
Chapter g7: gMarketing gAnalytics g g
Chapter g8: gAccounting gAnalytics g g
Chapter g9: gFinancial gAnalytics g g
Chapter g10: gOperations gAnalytics g g
Chapter g11: gAdvanced gBusiness gAnalytics g g
Chapter g12: gUsing gthe gSOAR gAnalytics gModel gto gPut gIt gAll gTogether: gThree gCapstone gProjects g g
, Chapter g01 g– gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness
gQuestions
Chapter 1 End-of-Chapter Assignment Solutions
g g g g
Multiple gChoice gQuestions
1. (LO g1.1) gA gcoordinated, gstandardized gset gof gactivities gconducted gby gboth gpeople gand gequipment gto
gaccomplish gagspecific gbusiness gtask gis gcalled .
a. business gprocesses
b. business ganalysis
c. business gprocedure
d. business gvalue
2. (LO g1.2) gAccording gto gthe ginformation gvalue gchain, gdata gcombined gwith gcontext gis
a. Information.
b. Knowledge.
c. Insight.
d. Value.
3. (LO g1.5) gWhich gphase gof gthe gSOAR ganalytics gmodel gaddresses gthe gproper gway gto gcommunicate gresults gto
gthegdecision gmaker?
a. Specify gthe gquestion
b. Obtain gthe gdata
c. Analyze gthe gdata
d. Report gthe gresults
4. (LO g1.5) gWhich gphase gof gthe gSOAR ganalytics gmodel ginvolves gfinding gthe gmost gappropriate gdata gneeded gto
gaddressgthe gbusiness gquestion?
a. Specify gthe gquestion
b. Obtain gthe gdata
c. Analyze gthe gdata
d. Report gthe gresults
5. (LO g1.5) gWhich gquestions gseek ginformation gabout gTesla’s gsales gin gthe gnext gquarter?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast
gwhatgwill ghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour gperformance
gbasedgon gpotential gconstraints?
6. (LO g1.5) gWhich gquestions gseek ginformation gon gthe grouting gof gproducts gfrom gQueretaro, gMexico gto
gChicago,gUnited gStates gin gthe glast gquarter?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast gwhat
gwillghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour gperformance
gbasedgon gpotential gconstraints?
, Chapter g01 g– gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness
gQuestions
7. (LO g1.5) gWhich gquestions gask gwhy gnet gincome gis gincreasing gwhen grevenues gare gdecreasing,
gcounter gtogexpectations?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast gwhat
gwillghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour gperformance
gbasedgon gpotential gconstraints?
8. (LO g1.5) gWhich gquestions ghelp gmanagers gunderstand ghow gto gorganize gfuture gshipments gbased gon
gexpectedgdemand?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast gwhat
gwillghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour
gperformancegbased gon gpotential gconstraints?
9. (LO g1.5) gWhich gterm grefers gto gthe gcombined gaccuracy, gvalidity, gand gconsistency gof gdata gstored gand gused
govergtime?
a. Data gintegrity
b. Data goverload
c. Data gvalue
d. Information gvalue
10. (LO g1.3) gA gspecialist gwho gknows ghow gto gwork gwith, gmanipulate, gand gstatistically gtest gdata gis ga
a. decision gmaker.
b. data gscientist.
c. data ganalyst.
d. decision gscientist.
11. (LO g1.4) gWhich gtype gof ganalysts gpredicts gthe gamount gof gmoney gthat ga gcompany gwill greceive gfrom gits
gcustomers gtoghelp gmanagement gevaluate gfuture ginvestments gbased gon gexpected ginvestment gperformance,
gsuch gas ginvestments gin gequipment gor gemployee gtraining?
a. Marketing ganalyst
b. Operations ganalyst
c. Financial ganalyst
d. Accounting ganalyst
12. (LO g1.4) gWhich gtype gof ganalyst gaddresses gquestions gregarding gtax gand gauditing?
a. Marketing ganalyst
b. Operations ganalyst
c. Financial ganalyst
d. Accounting ganalyst
13. (LO g1.5) gSuppose ga gcompany ghas gtimely gproduct greviews gthat gare gavailable gwhen gneeded, gbut gthe greviews
garegbiased. gThese gproduct greviews gare gwhich gtype gof gdata?
a. Reliable
b. Relevant
c. Curated
d. Consistent
© gMcGraw gHill gLLC. gAll grights greserved. gNo greproduction gor gdistribution gwithout gthe gprior gwritten gconsent gof gMcGraw gHill gLLC.
4
gQuestions
Solution Manual for Introduction to Business Analytics,
g g g g g g g
1st Edition
g
By Vernon Richardson and Marcia Watson
g g g g g
Verified Chapter's 1 - 12 | Complete
g g g g g g
, Chapter g01 g– gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness
gQuestions
TABLE OF CONTENTS g g g
Chapter g1: gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness gQuestions g g
Chapter g2: gObtain gthe gData: gAn gIntroduction gto gBusiness gData gSources g g
Chapter g3: gAnalyze gthe gData: gBasic gStatistics gand gTools gRequired gin gBusiness gAnalytics g g
Chapter g4: gAnalyze gthe gData: gExploratory gBusiness gAnalytics g(Descriptive gAnalytics gand gDiagnostic gAnalytics) g g
Chapter g5: gAnalyze gthe gData: gConfirmatory gBusiness gAnalytics g(Predictive gAnalytics gand gPrescriptive
gAnalytics) g g
Chapter g6: gReport gthe gResults: gUsing gData gVisualization g g
Chapter g7: gMarketing gAnalytics g g
Chapter g8: gAccounting gAnalytics g g
Chapter g9: gFinancial gAnalytics g g
Chapter g10: gOperations gAnalytics g g
Chapter g11: gAdvanced gBusiness gAnalytics g g
Chapter g12: gUsing gthe gSOAR gAnalytics gModel gto gPut gIt gAll gTogether: gThree gCapstone gProjects g g
, Chapter g01 g– gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness
gQuestions
Chapter 1 End-of-Chapter Assignment Solutions
g g g g
Multiple gChoice gQuestions
1. (LO g1.1) gA gcoordinated, gstandardized gset gof gactivities gconducted gby gboth gpeople gand gequipment gto
gaccomplish gagspecific gbusiness gtask gis gcalled .
a. business gprocesses
b. business ganalysis
c. business gprocedure
d. business gvalue
2. (LO g1.2) gAccording gto gthe ginformation gvalue gchain, gdata gcombined gwith gcontext gis
a. Information.
b. Knowledge.
c. Insight.
d. Value.
3. (LO g1.5) gWhich gphase gof gthe gSOAR ganalytics gmodel gaddresses gthe gproper gway gto gcommunicate gresults gto
gthegdecision gmaker?
a. Specify gthe gquestion
b. Obtain gthe gdata
c. Analyze gthe gdata
d. Report gthe gresults
4. (LO g1.5) gWhich gphase gof gthe gSOAR ganalytics gmodel ginvolves gfinding gthe gmost gappropriate gdata gneeded gto
gaddressgthe gbusiness gquestion?
a. Specify gthe gquestion
b. Obtain gthe gdata
c. Analyze gthe gdata
d. Report gthe gresults
5. (LO g1.5) gWhich gquestions gseek ginformation gabout gTesla’s gsales gin gthe gnext gquarter?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast
gwhatgwill ghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour gperformance
gbasedgon gpotential gconstraints?
6. (LO g1.5) gWhich gquestions gseek ginformation gon gthe grouting gof gproducts gfrom gQueretaro, gMexico gto
gChicago,gUnited gStates gin gthe glast gquarter?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast gwhat
gwillghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour gperformance
gbasedgon gpotential gconstraints?
, Chapter g01 g– gSpecify gthe gQuestion: gUsing gBusiness gAnalytics gto gAddress gBusiness
gQuestions
7. (LO g1.5) gWhich gquestions gask gwhy gnet gincome gis gincreasing gwhen grevenues gare gdecreasing,
gcounter gtogexpectations?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast gwhat
gwillghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour gperformance
gbasedgon gpotential gconstraints?
8. (LO g1.5) gWhich gquestions ghelp gmanagers gunderstand ghow gto gorganize gfuture gshipments gbased gon
gexpectedgdemand?
a. What ghappened? gWhat gis ghappening?
b. Why gdid git ghappen? gWhat gare gthe gcauses gof gpast gresults?
c. Will git ghappen gin gthe gfuture? gWhat gis gthe gprobability gsomething gwill ghappen? gCan gwe gforecast gwhat
gwillghappen?
d. What gshould gwe gdo, gbased gon gwhat gwe gexpect gwill ghappen? gHow gdo gwe goptimize gour
gperformancegbased gon gpotential gconstraints?
9. (LO g1.5) gWhich gterm grefers gto gthe gcombined gaccuracy, gvalidity, gand gconsistency gof gdata gstored gand gused
govergtime?
a. Data gintegrity
b. Data goverload
c. Data gvalue
d. Information gvalue
10. (LO g1.3) gA gspecialist gwho gknows ghow gto gwork gwith, gmanipulate, gand gstatistically gtest gdata gis ga
a. decision gmaker.
b. data gscientist.
c. data ganalyst.
d. decision gscientist.
11. (LO g1.4) gWhich gtype gof ganalysts gpredicts gthe gamount gof gmoney gthat ga gcompany gwill greceive gfrom gits
gcustomers gtoghelp gmanagement gevaluate gfuture ginvestments gbased gon gexpected ginvestment gperformance,
gsuch gas ginvestments gin gequipment gor gemployee gtraining?
a. Marketing ganalyst
b. Operations ganalyst
c. Financial ganalyst
d. Accounting ganalyst
12. (LO g1.4) gWhich gtype gof ganalyst gaddresses gquestions gregarding gtax gand gauditing?
a. Marketing ganalyst
b. Operations ganalyst
c. Financial ganalyst
d. Accounting ganalyst
13. (LO g1.5) gSuppose ga gcompany ghas gtimely gproduct greviews gthat gare gavailable gwhen gneeded, gbut gthe greviews
garegbiased. gThese gproduct greviews gare gwhich gtype gof gdata?
a. Reliable
b. Relevant
c. Curated
d. Consistent
© gMcGraw gHill gLLC. gAll grights greserved. gNo greproduction gor gdistribution gwithout gthe gprior gwritten gconsent gof gMcGraw gHill gLLC.
4
