Test Bank For Data Analytics for Accounting, 3rd Edition By Vernon Richardson, Ryan Teeter, Katie Terrell.

TEST BANK FOR
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Data Analytics for Accounting, 3rd Edition Richardson
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Chapter 1-9 p


Answers are at the End of Each Chapter
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Chapter 01: p


Student name:
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1) Datapanalyticspispthepprocesspofpevaluatingpdatapwithptheppurposepofpdrawingpconclusionsptopa
ddresspbusinesspquestions.
⊚p true
⊚p false



2) Thepprocesspofpdatapanalyticspaimsptoptransformprawpinformationpintopdataptopcreatepvalue.
⊚p true
⊚p false



3) Datapanalyticsphasptheppotentialptoptransformpthepmannerpinpwhichpcompaniesprunptheirpb
usinesses,phoweverpitpispnotppracticalpinpthepnearpfuture.
⊚p true
⊚p false



4) Auditorspcanpusepsocialpmediaptophearpwhatpcustomersparepsayingpaboutpapcompanypandpc
omparepthisptopinventorypobsolescencepandpotherpestimates.
⊚p true
⊚p false



5) Datapanalyticspallowspauditorsptopgleanpinsightspthatparepbeneficialptopthepclient,pwithoutpb
reechingpindependence.
⊚p true
⊚p false

,6) Theppredictivepanalyticspispanpimportantpaspectpofpdatapanalyticspforpauditors,pbutpispnotpa
pplicablepforptaxpaccountants.
⊚p true
⊚p false



7) ThepIpinpIMPACTpCycleprepresentspIdentifypthepQuestion.
⊚p true
⊚p false



8) ThepMpinpIMPACTpCycleprepresentspMasterpthepData.
⊚p true
⊚p false



9) ThepPpinpIMPACTpCycleprepresentspPredictpthepResults.
⊚p true
⊚p false



10) ThepApinpIMPACTpCycleprepresentspAnalyzepthepData.
⊚p true
⊚p false



11) ThepCpinpIMPACTpCycleprepresentspContinuouslypTrack.
⊚p true
⊚p false



12) ThepTpinpIMPACTpCycleprepresentspTrackpOutcomes.
⊚p true
⊚p false

,13) ThepIMPACTpcyclepispiterative,paspinsightsparepgained,poutcomespareptracked,pandpnewpq
uestionsparepidentified.
⊚p true
⊚p false



14) Datapanalysispthroughpdatapmanipulationpispperformingpbasicpanalysisptopunderstandpthepq
ualitypofpthepunderlyingpdatapandpitspabilityptopaddresspthepbusinesspquestion.
⊚p true
⊚p false



15) Topbepproficientpinpdatapanalysis,paccountantspneedptopbecomepdatapscientists.
⊚p true
⊚p false



16) Bypdevelopingpanpanalyticspmindset,paccountantspwillpbepableptoprecognizepwhenpandphowpd
atapanalyticspcanpaddresspbusinesspquestions.
⊚p true
⊚p false



17) Whilepitpispimportantpforpaccountantsptopclearlyparticulatepthepbusinesspproblem,pdrawingpa
ppropriatepconclusions,pbasedponpthepdata,pshouldpbepleftptopstatisticians.
⊚p true
⊚p false



18) Analytic-
mindedpaccountantspshouldpreportpresultspofpanalysispinpanpaccessiblepwayptopeachpvariedpdec
isionpmakerpandptheirpspecificpneeds.
⊚p true
⊚p false

, 19) Withpapgoalptopgiveporganizationspthepinformationptheypneedptopmakepsoundpandptimelypb
usinesspdecisions,pdatapanalyticspoftenpinvolvespallpofpthepfollowingpexcept:
A) technologies.
B) statistics.
C) strategies.
D) databases.



20) Patternspdiscoveredpfrom
enablepbusinessesptopidentifypopportunitiespandpriskspandpbetterpplanpfor .
A) pastparchives;pthepfuture
B) currentpdata;pthepfuture
C) currentpdata;ptoday
D) pastparchives;ptoday



21) Whichpofpthepfollowingpbestpdescribespthepgoalpofpdescriptivepdatapanalysis:
A) recognizepwhatpispmeantpbypdatapquality,pbepitpcompleteness,preliabilityporpvalidity
B) performpbasicpanalysisptopunderstandpthepqualitypofpthepunderlyingpdatapandpitspabilitypt
opaddresspthepbusinesspquestion
C) demonstratepabilityptopsort,prearrange,pmerge,pandpreconfigurepdatapinpapmannerpthatpa
llowspenhancedpanalysis
D) comprehendpthepprocesspneededptopcleanpandppreparepthepdatapbeforepanalysis



22) WhichpofpthepfollowingpMicrosoftpsoftwareptoolpspecializespinpdatapjoining?
A) Excel
B) PowerpQuery
C) PowerpBI
D) PowerpAutomate



23) WhichpofpthepfollowingpMicrosoftpsoftwareptoolspspecializespinpcreatingpdashboards?
A) Excel
B) PowerpQuery
C) PowerpBI
D) PowerpAutomate