TEST BANK FOR
n n
Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia Weid
n n n n n n n n n n
en Chapter 1-11
n n
Answers are at the End of Each Chapter
n n n n n n n
Chapter 1 n
Student name: n
TRUE/FALSE n-nWriten'T'nif nthenstatementnisntruenandn'F'nif nthenstatementnisnfalse.
1) A n businessn processn isn an coordinated,nstandardized nset nofnactivitiesn conductednbynbothnpeoplena
nd n equipment n ton accomplishn an specificn businessn task.
⊚n true
⊚n false
2) A n businessnanalystnisn an datanscientist n whoncollectsn datan tonhelpn annorganizationn makene
ffectiven businessn decisions.
⊚n true
⊚n false
3) Datan isn defined n asn informationn organized n inn an meaningfuln wayn ton ben usefuln ton then user.
⊚n true
⊚n false
4) Informationn isn defined nasn beingndatanorganized ninn anmeaningfuln waynton benusefulntonthen userninnan
givenn context.
⊚n true
⊚n false
5) A n datan scientist n isn an liaisonn betweenn decisionn makersn and n businessn analysts.
⊚n true
⊚n false
6) Operationsn analyticsn usesn businessn analyticsn ton measuren and nimproven thenefficiencynandne
ffectivenessn of n then company’sn operations.
⊚n true
⊚n false
,7) Then third n stepn inn then SOARn analyticsn modeln isn ton Accessn then data.
⊚n true
⊚n false
8) Exploratoryndatan visualizationn isn used n toncommunicaten resultsn of n then analysisn ton decisionn
makersn and n othern stakeholders.
⊚n true
⊚n false
CHECK nALLnTHEnAPPLY.nChoosenallnoptionsnthatnbestncompletesnthenstatementnornanswer
snthenquestion.
9) A n visualizationn maynben used n ton helpn withn whichn component n of n then SOARn model?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
MULTIPLEnCHOICEn-
nChoosenthenonenalternativenthatnbestncompletesnthenstatementnornanswersnthenquestion.
10) Then difficultyn an personn facesn innunderstandingn anproblemn and nmakingn andecisionn asn anc
onsequencen of n havingn toon muchn data.
A) Datan Complexity
B) Datan Overload
C) Analyticsn Mindset
D) Datan Challenges
11) Whichn stepn of n then SOARn modeln would n usuallyn involven computingn ann average?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
12) Whichn stepn of n thenSOARnmodeln most n appropriatelyn addressesn thenskilln mentioned n bynEY’sna
nalyticsn mindset n of n “extract,n transformn and n load n relevant n data”?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
,13) Usen of n andashboard ntontrackn relevant n outcomesn wouldnben consistent nwithnwhichn component nof n t
hen SOARn model?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
14) What n typen of nquestion(s)n worksntonexplainn “Whyndidnnet nincomen increasen evenn thoughnsalesnd
id n not?”
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
15) What n typen of nquestionn isn usedninn findingn then leveln ofn salesn neededntonbreakn evenn(exactlyn zeron p
rofit)?
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
16) What n typen of nquestionnisn “Hownlongn willn it n taken fornChristmasn productsn tonarriven at n ournstoresn if
n wen sourcen then productsn fromn Mexicon rathern thann Indonesia?”
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
, 17) What n typen of nquestionnisn “Shouldnwensourcen ourn productsn fromn Mexicon rathernthannI
ndonesia?”
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
18) What n typen of n questionn isn predictingn whethern borrowersn willn ben ablen ton repayn theirn loans?
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
19) What n typen of nquestionn isn usedninn determiningn how n ton maximizen revenuesn if n theren isn an traden
warn withn anothern country?
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
20) What n termn isn used n tonrefern tonthenaccuracy,n validitynandnconsistencyn ofndatanused nandnstoredno
vern time?
A) Datan veracity
B) Datan integrity
C) Datan quality
D) Truthfuln data
21) Dashboardsn showingn current n companynperformancen aren usuallyn associated nwithnwhatn typen of n
updating?
A) Dynamic
B) Static
C) Opportunist
D) Monthly
n n
Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia Weid
n n n n n n n n n n
en Chapter 1-11
n n
Answers are at the End of Each Chapter
n n n n n n n
Chapter 1 n
Student name: n
TRUE/FALSE n-nWriten'T'nif nthenstatementnisntruenandn'F'nif nthenstatementnisnfalse.
1) A n businessn processn isn an coordinated,nstandardized nset nofnactivitiesn conductednbynbothnpeoplena
nd n equipment n ton accomplishn an specificn businessn task.
⊚n true
⊚n false
2) A n businessnanalystnisn an datanscientist n whoncollectsn datan tonhelpn annorganizationn makene
ffectiven businessn decisions.
⊚n true
⊚n false
3) Datan isn defined n asn informationn organized n inn an meaningfuln wayn ton ben usefuln ton then user.
⊚n true
⊚n false
4) Informationn isn defined nasn beingndatanorganized ninn anmeaningfuln waynton benusefulntonthen userninnan
givenn context.
⊚n true
⊚n false
5) A n datan scientist n isn an liaisonn betweenn decisionn makersn and n businessn analysts.
⊚n true
⊚n false
6) Operationsn analyticsn usesn businessn analyticsn ton measuren and nimproven thenefficiencynandne
ffectivenessn of n then company’sn operations.
⊚n true
⊚n false
,7) Then third n stepn inn then SOARn analyticsn modeln isn ton Accessn then data.
⊚n true
⊚n false
8) Exploratoryndatan visualizationn isn used n toncommunicaten resultsn of n then analysisn ton decisionn
makersn and n othern stakeholders.
⊚n true
⊚n false
CHECK nALLnTHEnAPPLY.nChoosenallnoptionsnthatnbestncompletesnthenstatementnornanswer
snthenquestion.
9) A n visualizationn maynben used n ton helpn withn whichn component n of n then SOARn model?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
MULTIPLEnCHOICEn-
nChoosenthenonenalternativenthatnbestncompletesnthenstatementnornanswersnthenquestion.
10) Then difficultyn an personn facesn innunderstandingn anproblemn and nmakingn andecisionn asn anc
onsequencen of n havingn toon muchn data.
A) Datan Complexity
B) Datan Overload
C) Analyticsn Mindset
D) Datan Challenges
11) Whichn stepn of n then SOARn modeln would n usuallyn involven computingn ann average?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
12) Whichn stepn of n thenSOARnmodeln most n appropriatelyn addressesn thenskilln mentioned n bynEY’sna
nalyticsn mindset n of n “extract,n transformn and n load n relevant n data”?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
,13) Usen of n andashboard ntontrackn relevant n outcomesn wouldnben consistent nwithnwhichn component nof n t
hen SOARn model?
A) Specifyn then Question
B) Obtainn then Data
C) Analyzen then Data
D) Report n then Results
14) What n typen of nquestion(s)n worksntonexplainn “Whyndidnnet nincomen increasen evenn thoughnsalesnd
id n not?”
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
15) What n typen of nquestionn isn usedninn findingn then leveln ofn salesn neededntonbreakn evenn(exactlyn zeron p
rofit)?
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
16) What n typen of nquestionnisn “Hownlongn willn it n taken fornChristmasn productsn tonarriven at n ournstoresn if
n wen sourcen then productsn fromn Mexicon rathern thann Indonesia?”
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
, 17) What n typen of nquestionnisn “Shouldnwensourcen ourn productsn fromn Mexicon rathernthannI
ndonesia?”
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
18) What n typen of n questionn isn predictingn whethern borrowersn willn ben ablen ton repayn theirn loans?
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
19) What n typen of nquestionn isn usedninn determiningn how n ton maximizen revenuesn if n theren isn an traden
warn withn anothern country?
A) What n happened?n What n isn happening?
B) Whyndid n it n happen?n What n aren then root n causesn of n past n results?
C) Willn it n happenn inn then future?n Whatn isnthenprobabilityn somethingn willn happen?n Isnit nf
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Howndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
20) What n termn isn used n tonrefern tonthenaccuracy,n validitynandnconsistencyn ofndatanused nandnstoredno
vern time?
A) Datan veracity
B) Datan integrity
C) Datan quality
D) Truthfuln data
21) Dashboardsn showingn current n companynperformancen aren usuallyn associated nwithnwhatn typen of n
updating?
A) Dynamic
B) Static
C) Opportunist
D) Monthly
