Data Analytics for Accounting, 3rd Edition RichardsonC
l l l l l l l
hapter 1-9l
Answers are at the End of Each Chapter
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Chapter 01: l
Student name: l l
1) Datalanalyticslislthelprocessloflevaluatingldatalwithlthelpurposelofldrawinglconclusionsltoladdr
esslbusinesslquestions.
⊚l true
⊚l false
2) Thelprocesslofldatalanalyticslaimsltoltransformlrawlinformationlintoldataltolcreatelvalue.
⊚l true
⊚l false
3) Datalanalyticslhaslthelpotentialltoltransformlthelmannerlinlwhichlcompanieslrunltheirlbusi
nesses,lhoweverlitlislnotlpracticallinlthelnearlfuture.
⊚l true
⊚l false
4) Auditorslcanluselsociallmedialtolhearlwhatlcustomerslarelsayinglaboutlalcompanylandlcom
parelthisltolinventorylobsolescencelandlotherlestimates.
⊚l true
⊚l false
5) Datalanalyticslallowslauditorsltolgleanlinsightslthatlarelbeneficialltolthelclient,lwithoutlbree
chinglindependence.
⊚l true
⊚l false
,6) Thelpredictivelanalyticslislanlimportantlaspectlofldatalanalyticslforlauditors,lbutlislnotlappl
icablelforltaxlaccountants.
⊚l true
⊚l false
7) ThelIlinlIMPACTlCyclelrepresentslIdentifylthelQuestion.
⊚l true
⊚l false
8) ThelMlinlIMPACTlCyclelrepresentslMasterlthelData.
⊚l true
⊚l false
9) ThelPlinlIMPACTlCyclelrepresentslPredictlthelResults.
⊚l true
⊚l false
10) ThelAlinlIMPACTlCyclelrepresentslAnalyzelthelData.
⊚l true
⊚l false
11) ThelClinlIMPACTlCyclelrepresentslContinuouslylTrack.
⊚l true
⊚l false
12) ThelTlinlIMPACTlCyclelrepresentslTracklOutcomes.
⊚l true
⊚l false
,13) ThelIMPACTlcyclelisliterative,laslinsightslarelgained,loutcomeslareltracked,landlnewlque
stionslarelidentified.
⊚l true
⊚l false
14) Datalanalysislthroughldatalmanipulationlislperforminglbasiclanalysisltolunderstandlthelqua
lityloflthelunderlyingldatalandlitslabilityltoladdresslthelbusinesslquestion.
⊚l true
⊚l false
15) Tolbelproficientlinldatalanalysis,laccountantslneedltolbecomeldatalscientists.
⊚l true
⊚l false
16) Byldevelopinglanlanalyticslmindset,laccountantslwilllbelableltolrecognizelwhenlandlhowldatal
analyticslcanladdresslbusinesslquestions.
⊚l true
⊚l false
17) Whilelitlislimportantlforlaccountantsltolclearlylarticulatelthelbusinesslproblem,ldrawinglapp
ropriatelconclusions,lbasedlonltheldata,lshouldlbelleftltolstatisticians.
⊚l true
⊚l false
18) Analytic-
mindedlaccountantslshouldlreportlresultsloflanalysislinlanlaccessiblelwayltoleachlvariedldecisi
onlmakerlandltheirlspecificlneeds.
⊚l true
⊚l false
, 19) Withlalgoalltolgivelorganizationslthelinformationltheylneedltolmakelsoundlandltimelylbusi
nessldecisions,ldatalanalyticsloftenlinvolveslallloflthelfollowinglexcept:
A) technologies.
B) statistics.
C) strategies.
D) databases.
20) Patternsldiscoveredlfrom
enablelbusinessesltolidentifylopportunitieslandlriskslandlbetterlplanlfor .
A) pastlarchives;lthelfuture
B) currentldata;lthelfuture
C) currentldata;ltoday
D) pastlarchives;ltoday
21) Whichloflthelfollowinglbestldescribeslthelgoallofldescriptiveldatalanalysis:
A) recognizelwhatlislmeantlbyldatalquality,lbelitlcompleteness,lreliabilitylorlvalidity
B) performlbasiclanalysisltolunderstandlthelqualityloflthelunderlyingldatalandlitslabilityltola
ddresslthelbusinesslquestion
C) demonstratelabilityltolsort,lrearrange,lmerge,landlreconfigureldatalinlalmannerlthatlallo
wslenhancedlanalysis
D) comprehendlthelprocesslneededltolcleanlandlprepareltheldatalbeforelanalysis
22) WhichloflthelfollowinglMicrosoftlsoftwareltoollspecializeslinldataljoining?
A) Excel
B) PowerlQuery
C) PowerlBI
D) PowerlAutomate
23) WhichloflthelfollowinglMicrosoftlsoftwareltoolslspecializeslinlcreatingldashboards?
A) Excel
B) PowerlQuery
C) PowerlBI
D) PowerlAutomate