k k
Data Analytics for Accounting, 3rd Edition Richardson Chapter
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1-9
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Answers are at the End of Each Chapter
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Chapter 01: k
Student name:
k
1) Datakanalyticskiskthekprocesskofkevaluatingkdatakwithkthekpurposekofkdrawingkconclusionsktoka
ddresskbusinesskquestions.
⊚k true
⊚k false
2) Thekprocesskofkdatakanalyticskaimsktoktransformkrawkinformationkintokdataktokcreatekvalue.
⊚k true
⊚k false
3) Datakanalyticskhaskthekpotentialktoktransformkthekmannerkinkwhichkcompanieskrunktheirkb
usinesses,khoweverkitkisknotkpracticalkinktheknearkfuture.
⊚k true
⊚k false
4) Auditorskcankuseksocialkmediaktokhearkwhatkcustomerskareksayingkaboutkakcompanykandkc
omparekthisktokinventorykobsolescencekandkotherkestimates.
⊚k true
⊚k false
5) Datakanalyticskallowskauditorsktokgleankinsightskthatkarekbeneficialktokthekclient,kwithoutkb
reechingkindependence.
⊚k true
⊚k false
,6) Thekpredictivekanalyticskiskankimportantkaspectkofkdatakanalyticskforkauditors,kbutkisknotka
pplicablekforktaxkaccountants.
⊚k true
⊚k false
7) ThekIkinkIMPACTkCyclekrepresentskIdentifykthekQuestion.
⊚k true
⊚k false
8) ThekMkinkIMPACTkCyclekrepresentskMasterkthekData.
⊚k true
⊚k false
9) ThekPkinkIMPACTkCyclekrepresentskPredictkthekResults.
⊚k true
⊚k false
10) ThekAkinkIMPACTkCyclekrepresentskAnalyzekthekData.
⊚k true
⊚k false
11) ThekCkinkIMPACTkCyclekrepresentskContinuouslykTrack.
⊚k true
⊚k false
12) ThekTkinkIMPACTkCyclekrepresentskTrackkOutcomes.
⊚k true
⊚k false
,13) ThekIMPACTkcyclekiskiterative,kaskinsightskarekgained,koutcomeskarektracked,kandknewkq
uestionskarekidentified.
⊚k true
⊚k false
14) Datakanalysiskthroughkdatakmanipulationkiskperformingkbasickanalysisktokunderstandkthek
qualitykofkthekunderlyingkdatakandkitskabilityktokaddresskthekbusinesskquestion.
⊚k true
⊚k false
15) Tokbekproficientkinkdatakanalysis,kaccountantskneedktokbecomekdatakscientists.
⊚k true
⊚k false
16) Bykdevelopingkankanalyticskmindset,kaccountantskwillkbekablektokrecognizekwhenkandkhowkd
atakanalyticskcankaddresskbusinesskquestions.
⊚k true
⊚k false
17) Whilekitkiskimportantkforkaccountantsktokclearlykarticulatekthekbusinesskproblem,kdrawingka
ppropriatekconclusions,kbasedkonkthekdata,kshouldkbekleftktokstatisticians.
⊚k true
⊚k false
18) Analytic-
mindedkaccountantskshouldkreportkresultskofkanalysiskinkankaccessiblekwayktokeachkvariedkdec
isionkmakerkandktheirkspecifickneeds.
⊚k true
⊚k false
, 19) Withkakgoalktokgivekorganizationskthekinformationktheykneedktokmakeksoundkandktimelykb
usinesskdecisions,kdatakanalyticskoftenkinvolveskallkofkthekfollowingkexcept:
A) technologies.
B) statistics.
C) strategies.
D) databases.
20) Patternskdiscoveredkfromk
enablekbusinessesktokidentifykopportunitieskandkriskskandkbet
terkplankfork .
A) pastkarchives;kthekfuture
B) currentkdata;kthekfuture
C) currentkdata;ktoday
D) pastkarchives;ktoday
21) Whichkofkthekfollowingkbestkdescribeskthekgoalkofkdescriptivekdatakanalysis:
A) recognizekwhatkiskmeantkbykdatakquality,kbekitkcompleteness,kreliabilitykorkvalidity
B) performkbasickanalysisktokunderstandkthekqualitykofkthekunderlyingkdatakandkitskabilitykt
okaddresskthekbusinesskquestion
C) demonstratekabilityktoksort,krearrange,kmerge,kandkreconfigurekdatakinkakmannerkthatka
llowskenhancedkanalysis
D) comprehendkthekprocesskneededktokcleankandkpreparekthekdatakbeforekanalysis
22) WhichkofkthekfollowingkMicrosoftksoftwarektoolkspecializeskinkdatakjoining?
A) Excel
B) PowerkQuery
C) PowerkBI
D) PowerkAutomate
23) WhichkofkthekfollowingkMicrosoftksoftwarektoolskspecializeskinkcreatingkdashboards?
A) Excel
B) PowerkQuery
C) PowerkBI
D) PowerkAutomate