TEST BANK FOR
n n
Data Analytics for Accounting, 3rd Edition Richardson
n n n n n n n
Chapter 1-9 n
Answers are at the End of Each Chapter
n n n n n n n
Chapter 01: n
Student name:
n n
1) Datananalyticsnisnthenprocessnofnevaluatingndatanwithnthenpurposenofndrawingnconclusionsntona
ddressnbusinessnquestions.
⊚n true
⊚n false
2) Thenprocessnofndatananalyticsnaimsntontransformnrawninformationnintondatantoncreatenvalue.
⊚n true
⊚n false
3) Datananalyticsnhasnthenpotentialntontransformnthenmannerninnwhichncompaniesnrunntheirnb
usinesses,nhowevernitnisnnotnpracticalninnthennearnfuture.
⊚n true
⊚n false
4) Auditorsncannusensocialnmediantonhearnwhatncustomersnarensayingnaboutnancompanynandnc
omparenthisntoninventorynobsolescencenandnothernestimates.
⊚n true
⊚n false
5) Datananalyticsnallowsnauditorsntongleanninsightsnthatnarenbeneficialntonthenclient,nwithoutnb
reechingnindependence.
⊚n true
⊚n false
,6) Thenpredictivenanalyticsnisnannimportantnaspectnofndatananalyticsnfornauditors,nbutnisnnotna
pplicablenforntaxnaccountants.
⊚n true
⊚n false
7) ThenIninnIMPACTnCyclenrepresentsnIdentifynthenQuestion.
⊚n true
⊚n false
8) ThenMninnIMPACTnCyclenrepresentsnMasternthenData.
⊚n true
⊚n false
9) ThenPninnIMPACTnCyclenrepresentsnPredictnthenResults.
⊚n true
⊚n false
10) ThenAninnIMPACTnCyclenrepresentsnAnalyzenthenData.
⊚n true
⊚n false
11) ThenCninnIMPACTnCyclenrepresentsnContinuouslynTrack.
⊚n true
⊚n false
12) ThenTninnIMPACTnCyclenrepresentsnTracknOutcomes.
⊚n true
⊚n false
,13) ThenIMPACTncyclenisniterative,nasninsightsn arengained,noutcomesnarentracked,nandnnewnq
uestionsnarenidentified.
⊚n true
⊚n false
14) Datananalysisnthroughndatanmanipulationnisnperformingnbasicnanalysisntonunderstandnthenq
ualitynofnthenunderlyingndatanandnitsnabilityntonaddressnthenbusinessnquestion.
⊚n true
⊚n false
15) Tonbenproficientninndatananalysis,naccountantsnneedntonbecomendatanscientists.
⊚n true
⊚n false
16) Byndevelopingnannanalyticsnmindset,naccountantsnwillnbenablentonrecognizenwhennandnhownd
atananalyticsncannaddressnbusinessnquestions.
⊚n true
⊚n false
17) Whilenitnisnimportantnfornaccountantsntonclearlynarticulatenthenbusinessnproblem,ndrawingna
ppropriatenconclusions,nbasednonnthendata,nshouldnbenleftntonstatisticians.
⊚n true
⊚n false
18) Analytic-
mindednaccountantsnshouldnreportnresultsnofnanalysisninnannaccessiblenwayntoneachnvariedndec
isionnmakernandntheirnspecificnneeds.
⊚n true
⊚n false
, 19) Withnangoalntongivenorganizationsntheninformationntheynneedntonmakensoundnandntimelynb
usinessndecisions,ndatananalyticsnoftenninvolvesnallnofnthenfollowingnexcept:
A) technologies.
B) statistics.
C) strategies.
D) databases.
20) Patternsndiscoverednfrom
enablenbusinessesntonidentifynopportunitiesnandnrisksnandnbetternplannfor .
A) pastnarchives;nthenfuture
B) currentndata;nthenfuture
C) currentndata;ntoday
D) pastnarchives;ntoday
21) Whichnofnthenfollowingnbestndescribesnthengoalnofndescriptivendatananalysis:
A) recognizenwhatnisnmeantnbyndatanquality,nbenitncompleteness,nreliabilitynornvalidity
B) performnbasicnanalysisntonunderstandnthenqualitynofnthenunderlyingndatanandnitsnabilitynt
onaddressnthenbusinessnquestion
C) demonstratenabilityntonsort,nrearrange,nmerge,nandnreconfigurendataninnanmannernthatna
llowsnenhancednanalysis
D) comprehendnthenprocessnneededntoncleannandnpreparenthendatanbeforenanalysis
22) WhichnofnthenfollowingnMicrosoftnsoftwarentoolnspecializesninndatanjoining?
A) Excel
B) PowernQuery
C) PowernBI
D) PowernAutomate
23) WhichnofnthenfollowingnMicrosoftnsoftwarentoolsnspecializesninncreatingndashboards?
A) Excel
B) PowernQuery
C) PowernBI
D) PowernAutomate
n n
Data Analytics for Accounting, 3rd Edition Richardson
n n n n n n n
Chapter 1-9 n
Answers are at the End of Each Chapter
n n n n n n n
Chapter 01: n
Student name:
n n
1) Datananalyticsnisnthenprocessnofnevaluatingndatanwithnthenpurposenofndrawingnconclusionsntona
ddressnbusinessnquestions.
⊚n true
⊚n false
2) Thenprocessnofndatananalyticsnaimsntontransformnrawninformationnintondatantoncreatenvalue.
⊚n true
⊚n false
3) Datananalyticsnhasnthenpotentialntontransformnthenmannerninnwhichncompaniesnrunntheirnb
usinesses,nhowevernitnisnnotnpracticalninnthennearnfuture.
⊚n true
⊚n false
4) Auditorsncannusensocialnmediantonhearnwhatncustomersnarensayingnaboutnancompanynandnc
omparenthisntoninventorynobsolescencenandnothernestimates.
⊚n true
⊚n false
5) Datananalyticsnallowsnauditorsntongleanninsightsnthatnarenbeneficialntonthenclient,nwithoutnb
reechingnindependence.
⊚n true
⊚n false
,6) Thenpredictivenanalyticsnisnannimportantnaspectnofndatananalyticsnfornauditors,nbutnisnnotna
pplicablenforntaxnaccountants.
⊚n true
⊚n false
7) ThenIninnIMPACTnCyclenrepresentsnIdentifynthenQuestion.
⊚n true
⊚n false
8) ThenMninnIMPACTnCyclenrepresentsnMasternthenData.
⊚n true
⊚n false
9) ThenPninnIMPACTnCyclenrepresentsnPredictnthenResults.
⊚n true
⊚n false
10) ThenAninnIMPACTnCyclenrepresentsnAnalyzenthenData.
⊚n true
⊚n false
11) ThenCninnIMPACTnCyclenrepresentsnContinuouslynTrack.
⊚n true
⊚n false
12) ThenTninnIMPACTnCyclenrepresentsnTracknOutcomes.
⊚n true
⊚n false
,13) ThenIMPACTncyclenisniterative,nasninsightsn arengained,noutcomesnarentracked,nandnnewnq
uestionsnarenidentified.
⊚n true
⊚n false
14) Datananalysisnthroughndatanmanipulationnisnperformingnbasicnanalysisntonunderstandnthenq
ualitynofnthenunderlyingndatanandnitsnabilityntonaddressnthenbusinessnquestion.
⊚n true
⊚n false
15) Tonbenproficientninndatananalysis,naccountantsnneedntonbecomendatanscientists.
⊚n true
⊚n false
16) Byndevelopingnannanalyticsnmindset,naccountantsnwillnbenablentonrecognizenwhennandnhownd
atananalyticsncannaddressnbusinessnquestions.
⊚n true
⊚n false
17) Whilenitnisnimportantnfornaccountantsntonclearlynarticulatenthenbusinessnproblem,ndrawingna
ppropriatenconclusions,nbasednonnthendata,nshouldnbenleftntonstatisticians.
⊚n true
⊚n false
18) Analytic-
mindednaccountantsnshouldnreportnresultsnofnanalysisninnannaccessiblenwayntoneachnvariedndec
isionnmakernandntheirnspecificnneeds.
⊚n true
⊚n false
, 19) Withnangoalntongivenorganizationsntheninformationntheynneedntonmakensoundnandntimelynb
usinessndecisions,ndatananalyticsnoftenninvolvesnallnofnthenfollowingnexcept:
A) technologies.
B) statistics.
C) strategies.
D) databases.
20) Patternsndiscoverednfrom
enablenbusinessesntonidentifynopportunitiesnandnrisksnandnbetternplannfor .
A) pastnarchives;nthenfuture
B) currentndata;nthenfuture
C) currentndata;ntoday
D) pastnarchives;ntoday
21) Whichnofnthenfollowingnbestndescribesnthengoalnofndescriptivendatananalysis:
A) recognizenwhatnisnmeantnbyndatanquality,nbenitncompleteness,nreliabilitynornvalidity
B) performnbasicnanalysisntonunderstandnthenqualitynofnthenunderlyingndatanandnitsnabilitynt
onaddressnthenbusinessnquestion
C) demonstratenabilityntonsort,nrearrange,nmerge,nandnreconfigurendataninnanmannernthatna
llowsnenhancednanalysis
D) comprehendnthenprocessnneededntoncleannandnpreparenthendatanbeforenanalysis
22) WhichnofnthenfollowingnMicrosoftnsoftwarentoolnspecializesninndatanjoining?
A) Excel
B) PowernQuery
C) PowernBI
D) PowernAutomate
23) WhichnofnthenfollowingnMicrosoftnsoftwarentoolsnspecializesninncreatingndashboards?
A) Excel
B) PowernQuery
C) PowernBI
D) PowernAutomate