Test Bank Introduction to Data Analytics for Accounting, 2nd Edition Richardson
n n n n n n n n n n
Chap 01 2e
n n
Answers Included
n
1) "Create"n isn then highest n skilln inn Bloom'sn Taxonomy.
⊚n true
⊚n false
2) "Understand"n isn then lowest n skilln inn Bloom'sn Taxonomy.
⊚n true
⊚n false
3) "Remember"n isn an highern skilln thann "Understand"n inn Bloom'sn Taxonomy.
⊚n true
⊚n false
4) "Askn then Right n Question"n isn onenof n then desired n skillsn forn accountingn professionals,n consistent n
withn EY'sn "Then Analyticsn Mindset".
⊚n true
⊚n false
5) "Communicaten resultsn withn management"n isn onen of n then desired n skillsn forn accountingn
professionals,n consistent n withn EY'sn "Then Analyticsn Mindset".
⊚n true
⊚n false
6) "Extract,n Transformn and n Load nRelevant nData"n isn onenofnthendesired nskillsn forn accountingnp
rofessionals,n consistent n withn EY'sn "Then Analyticsn Mindset".
⊚n true
⊚n false
1
,7) Of n then optionsn listed n below,n whichn isn then lowest n leveln of n thinkingn skillsn inn Bloom'sn
Taxonomy?
A) Create
B) Understand
C) Apply
D) Analyze
8) Of n then optionsn listed n below,n whichn isn then highest n leveln of n thinkingn skillsn inn Bloom'sn
Taxonomy?
A) Evaluate
B) Apply
C) Analyze
D) Understand
9) Whichn isn then appropriaten orderingn of nthinkingn skillsn inn Bloom'sn Taxonomy,n wheren then">"n s
ymboln meansn highern ordern skills?
A) Evaluaten >n Apply
B) Remembern >n Understand
C) Applyn >n Analyze
D) Analyzen >n Evaluate
10) Whichn component n of n then AMPSn modeln would n usuallyn involven creatingn an pivottable?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
11) Whichn component n of n thenAMPSnmodeln most n appropriatelyn addressesn then skilln mentioned n byn
EY'sn analyticsn mindset n of n "extract,n transformn and n load n relevant n data"?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
2
,12) Usen of n an dashboardn tontracknrelevant n outcomesn wouldn benconsistent nwithnwhichn component nof n t
hen AMPSn model?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
13) A n visualizationn mayn ben used n ton helpn withn whichn component n of n then AMPSn model?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
14) Benford'sn law n might n ben used n asn part n of n whichn component n of n then AMPSn model?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
15) What n typen of nquestion(s)n worksntonexplainn "Whyn didn overalln taxnincreasen evenn thoughn net n i
ncomen did n not?"
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
16) What n typen of n questionn isn used n inn findingn then leveln of n salesn needed n ton breakn even?
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
3
, 17) What n typen of nquestionnisn usedn innlearningn how nmuchn then companyn paid n inn interest n expensesn l
ast n year?
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Whatnshould nwendonbasedno
nn what n wen expect nwilln happen?n How ndon wen optimizen ourn performancen based n onnpotent
ialn 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) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
19) What n typen of nquestionn isnused n inn determiningn how n ton maximizen revenuesn if n theren isn an traden
warn withn China?
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
20) Then accuracy,n validityn and n consistencyn of n datan used n and n stored n overn timen isn called
A) datan veracity.
B) datan integrity.
C) datan quality.
D) truthfuln data.
4
n n n n n n n n n n
Chap 01 2e
n n
Answers Included
n
1) "Create"n isn then highest n skilln inn Bloom'sn Taxonomy.
⊚n true
⊚n false
2) "Understand"n isn then lowest n skilln inn Bloom'sn Taxonomy.
⊚n true
⊚n false
3) "Remember"n isn an highern skilln thann "Understand"n inn Bloom'sn Taxonomy.
⊚n true
⊚n false
4) "Askn then Right n Question"n isn onenof n then desired n skillsn forn accountingn professionals,n consistent n
withn EY'sn "Then Analyticsn Mindset".
⊚n true
⊚n false
5) "Communicaten resultsn withn management"n isn onen of n then desired n skillsn forn accountingn
professionals,n consistent n withn EY'sn "Then Analyticsn Mindset".
⊚n true
⊚n false
6) "Extract,n Transformn and n Load nRelevant nData"n isn onenofnthendesired nskillsn forn accountingnp
rofessionals,n consistent n withn EY'sn "Then Analyticsn Mindset".
⊚n true
⊚n false
1
,7) Of n then optionsn listed n below,n whichn isn then lowest n leveln of n thinkingn skillsn inn Bloom'sn
Taxonomy?
A) Create
B) Understand
C) Apply
D) Analyze
8) Of n then optionsn listed n below,n whichn isn then highest n leveln of n thinkingn skillsn inn Bloom'sn
Taxonomy?
A) Evaluate
B) Apply
C) Analyze
D) Understand
9) Whichn isn then appropriaten orderingn of nthinkingn skillsn inn Bloom'sn Taxonomy,n wheren then">"n s
ymboln meansn highern ordern skills?
A) Evaluaten >n Apply
B) Remembern >n Understand
C) Applyn >n Analyze
D) Analyzen >n Evaluate
10) Whichn component n of n then AMPSn modeln would n usuallyn involven creatingn an pivottable?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
11) Whichn component n of n thenAMPSnmodeln most n appropriatelyn addressesn then skilln mentioned n byn
EY'sn analyticsn mindset n of n "extract,n transformn and n load n relevant n data"?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
2
,12) Usen of n an dashboardn tontracknrelevant n outcomesn wouldn benconsistent nwithnwhichn component nof n t
hen AMPSn model?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
13) A n visualizationn mayn ben used n ton helpn withn whichn component n of n then AMPSn model?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
14) Benford'sn law n might n ben used n asn part n of n whichn component n of n then AMPSn model?
A) Askn then Question
B) Mastern then Data
C) Performn then Analysis
D) Sharen then Story
15) What n typen of nquestion(s)n worksntonexplainn "Whyn didn overalln taxnincreasen evenn thoughn net n i
ncomen did n not?"
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
16) What n typen of n questionn isn used n inn findingn then leveln of n salesn needed n ton breakn even?
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
3
, 17) What n typen of nquestionnisn usedn innlearningn how nmuchn then companyn paid n inn interest n expensesn l
ast n year?
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n Whatnshould nwendonbasedno
nn what n wen expect nwilln happen?n How ndon wen optimizen ourn performancen based n onnpotent
ialn 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) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
19) What n typen of nquestionn isnused n inn determiningn how n ton maximizen revenuesn if n theren isn an traden
warn withn China?
A) What n happened?n What n isn happening?
B) Whyn did 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 Whatnisn thenprobabilityn somethingn willn happen?nIsnit n f
orecastable?
D) What n should n wendon basednonnwhatnwenexpect nwilln happen?n How ndonwenoptimizen ourn p
erformancen based n onn potentialn constraints?
20) Then accuracy,n validityn and n consistencyn of n datan used n and n stored n overn timen isn called
A) datan veracity.
B) datan integrity.
C) datan quality.
D) truthfuln data.
4
