h h
Data Analytics for Accounting, 3rd Edition Richardson Chapter
h h h h h h h
1-9
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Answers are at the End of Each Chapter
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Chapter 01: h
Student name:
h
1) Datahanalyticshishthehprocesshofhevaluatinghdatahwithhthehpurposehofhdrawinghconclusionshtoha
ddresshbusinesshquestions.
⊚h true
⊚h false
2) Thehprocesshofhdatahanalyticshaimshtohtransformhrawhinformationhintohdatahtohcreatehvalue.
⊚h true
⊚h false
3) Datahanalyticshhashthehpotentialhtohtransformhthehmannerhinhwhichhcompanieshrunhtheirhb
usinesses,hhoweverhithishnothpracticalhinhthehnearhfuture.
⊚h true
⊚h false
4) Auditorshcanhusehsocialhmediahtohhearhwhathcustomersharehsayinghabouthahcompanyhandhc
omparehthishtohinventoryhobsolescencehandhotherhestimates.
⊚h true
⊚h false
5) Datahanalyticshallowshauditorshtohgleanhinsightshthatharehbeneficialhtohthehclient,hwithouthb
reechinghindependence.
⊚h true
⊚h false
,6) Thehpredictivehanalyticshishanhimportanthaspecthofhdatahanalyticshforhauditors,hbuthishnotha
pplicablehforhtaxhaccountants.
⊚h true
⊚h false
7) ThehIhinhIMPACThCyclehrepresentshIdentifyhthehQuestion.
⊚h true
⊚h false
8) ThehMhinhIMPACThCyclehrepresentshMasterhthehData.
⊚h true
⊚h false
9) ThehPhinhIMPACThCyclehrepresentshPredicththehResults.
⊚h true
⊚h false
10) ThehAhinhIMPACThCyclehrepresentshAnalyzehthehData.
⊚h true
⊚h false
11) ThehChinhIMPACThCyclehrepresentshContinuouslyhTrack.
⊚h true
⊚h false
12) ThehThinhIMPACThCyclehrepresentshTrackhOutcomes.
⊚h true
⊚h false
,13) ThehIMPACThcyclehishiterative,hashinsightsharehgained,houtcomesharehtracked,handhnewhq
uestionsharehidentified.
⊚h true
⊚h false
14) Datahanalysishthroughhdatahmanipulationhishperforminghbasichanalysishtohunderstandhtheh
qualityhofhthehunderlyinghdatahandhitshabilityhtohaddresshthehbusinesshquestion.
⊚h true
⊚h false
15) Tohbehproficienthinhdatahanalysis,haccountantshneedhtohbecomehdatahscientists.
⊚h true
⊚h false
16) Byhdevelopinghanhanalyticshmindset,haccountantshwillhbehablehtohrecognizehwhenhandhhowhd
atahanalyticshcanhaddresshbusinesshquestions.
⊚h true
⊚h false
17) Whilehithishimportanthforhaccountantshtohclearlyharticulatehthehbusinesshproblem,hdrawingha
ppropriatehconclusions,hbasedhonhthehdata,hshouldhbehlefthtohstatisticians.
⊚h true
⊚h false
18) Analytic-
mindedhaccountantshshouldhreporthresultshofhanalysishinhanhaccessiblehwayhtoheachhvariedhdec
isionhmakerhandhtheirhspecifichneeds.
⊚h true
⊚h false
, 19) Withhahgoalhtohgivehorganizationshthehinformationhtheyhneedhtohmakehsoundhandhtimelyhb
usinesshdecisions,hdatahanalyticshoftenhinvolveshallhofhthehfollowinghexcept:
A) technologies.
B) statistics.
C) strategies.
D) databases.
20) Patternshdiscoveredhfromh
enablehbusinesseshtohidentifyhopportunitieshandhriskshandhbet
terhplanhforh .
A) pastharchives;hthehfuture
B) currenthdata;hthehfuture
C) currenthdata;htoday
D) pastharchives;htoday
21) Whichhofhthehfollowinghbesthdescribeshthehgoalhofhdescriptivehdatahanalysis:
A) recognizehwhathishmeanthbyhdatahquality,hbehithcompleteness,hreliabilityhorhvalidity
B) performhbasichanalysishtohunderstandhthehqualityhofhthehunderlyinghdatahandhitshabilityht
ohaddresshthehbusinesshquestion
C) demonstratehabilityhtohsort,hrearrange,hmerge,handhreconfigurehdatahinhahmannerhthatha
llowshenhancedhanalysis
D) comprehendhthehprocesshneededhtohcleanhandhpreparehthehdatahbeforehanalysis
22) WhichhofhthehfollowinghMicrosofthsoftwarehtoolhspecializeshinhdatahjoining?
A) Excel
B) PowerhQuery
C) PowerhBI
D) PowerhAutomate
23) WhichhofhthehfollowinghMicrosofthsoftwarehtoolshspecializeshinhcreatinghdashboards?
A) Excel
B) PowerhQuery
C) PowerhBI
D) PowerhAutomate