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Test Bank for Introduction to Data Analytics for Accounting, 2nd Edition Vernon Richardson and Terrell Chapters 1-13 Covered

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Test Bank for Introduction to Data Analytics Data Analytics for Accounting Test Bank Vernon Richardson Data Analytics Test Bank Terrell Data Analytics Test Bank Introduction to Data Analytics 2nd Edition Test Bank Chapters 1-13 Data Analytics Data Analytics Test Bank for Accounting Vernon Richardson 2nd Edition Test Bank Terrell 2nd Edition Accounting Test Bank Introduction to Data Analytics for Accounting Data Analytics for Accounting Study Guide Accounting Data Analytics Test Materials Test Bank Introduction to Data Analytics Data Analytics Accounting Exam Prep Chapters 1-13 Data Analytics Test Bank Data Analytics for Accountants Test Bank Second Edition Data Analytics Test Bank Vernon Richardson Accounting Analytics Terrell Accounting Data Analytics Resources Introduction to Data Analytics Exam Guide Accounting Data Analytics Chapter Summaries Comprehensive Test Bank for Data Analytics Exam Questions for Data Analytics Accounting Data Analytics Study Guide for Accountants Test Bank Resources for Data Analytics Accounting Data Analysis Test Questions Data Analytics Training Test Bank Test

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Voorbeeld van de inhoud

,ACCESS Test Bank for Introduction to Data Analytics for Accounting 2nd Editio
B B B B B B B B B B B

n Richardson B

Richardson,BTerrell,BTeeterB–BIntroductionBtoBDataBAnalyticsBforBAccounting,B2ndB EditionB–BChapterB1




Chapter 1 End-of-Chapter Assignment Solutions
B B B B




Multiple Choice Questions
B B



1. (LOB1-2)BWhichBisBtheBlowestBlevelBofBcriticalBthinkingBskillsBinBBloom’sBTaxonomy?
a. Create
b. Remember
c. Apply
d. Analyze
2. (LOB1-2)BWhichBisBtheBhighestBlevelBofBcriticalBthinkingBskillsBinBBloom’sBTaxonomy?
a. Create
b. Apply
c. Analyze
d. Understand
3. (LOB1-
2)BWhichBisBtheBappropriateBorderingBofBcriticalBthinkingBskillsBinBBloom’sBTaxo
nomy,BwhereBtheB“>”BsymbolBmeansBhigherBorderBskills?
a. RememberB>BApply
b. ApplyB>BAnalyze
c. AnalyzeB>BEvaluate
d. CreateB>BAnalyze
4. (LOB1-3)BWhichBstepBofBtheBAMPSBmodelBmostBappropriatelyBaddressesBtheBaxiom,
“YourBdataBwon’tBspeakBunlessByouBaskBitBtheBrightBdataBanalyticsBquestions”?
a. AskBtheBQuestion
b. MasterBtheBData
c. PerformBtheBAnalysis
d. ShareBtheBStory
5. (LOB1-
3)BWhichBstepBofBtheBAMPSBmodelBmostBappropriatelyBaddressesBtheBquestionBofBth
eBbestBwayBtoBcommunicateBdataBanalyticsBfindingsBwithBaBdecisionBmaker?
a. AskBtheBQuestion
b. MasterBtheBData
c. PerformBtheBAnalysis
d. ShareBtheBStory
6. (LOB1-
3)BWhatBtypeBofBquestionBisBpredictingBwhetherBaBcompanyBwillBgoBbankruptBinBtheBc
omingBtwoByears?
a. WhatBhappened?BWhatBisBhappening?
b. WhyBdidBitBhappen?BWhatBareBtheBrootBcausesBofBpastBresults?
c. WillBitBhappenBinBtheBfuture?BWhatBisBtheBprobabilityBsomethingBwill
Bhappen?BIsBitBforecastable?




©BMcGrawBHillBLLC.BAllBrightsBreserved.BNoBreproductionBorBdistributionBwithoutBtheBpriorBwrittenBconsentBofBMcGrawBHill
BLLC.

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,ACCESS Test Bank for Introduction to Data Analytics for Accounting 2nd Editio
B B B B B B B B B B B

n Richardson B

Richardson,BTerrell,BTeeterB–BIntroductionBtoBDataBAnalyticsBforBAccounting,B2ndB EditionB–BChapterB1


d. WhatBshouldBweBdoBbasedBonBwhatBweBexpectBwillBhappen?BHowBdoBwe
optimizeBourBperformanceBbasedBonBpotentialBconstraints?”
7. (LOB1-
3)BWhatBtypeBofBquestionBisBchoosingBtoBtakeBcertainBtaxBdeductionsBbasedBonBtheBw
ayBmanagersBbelieveBtaxBlegislationBwillBchangeBinBtheBnearBfuture?
a. WhatBhappened?BWhatBisBhappening?
b. WhyBdidBitBhappen?BWhatBareBtheBrootBcausesBofBpastBresults?
c. WillBitBhappenBinBtheBfuture?BWhatBisBtheBprobabilityBsomethingBwillBhappen?
BIsBitBforecastable?

d. WhatBshouldBweBdoBbasedBonBwhatBweBexpectBwillBhappen?B HowBdoBwe
optimizeBourBperformanceBbasedBonBpotentialBconstraints?”
8. (LOB1-
3)BWhatBtypeBofBquestionBisBfindingBtheBdetailBtoBmoreBclearlyBunderstandBwhyBnetBin
comeBisBdecreasingBwhenBrevenuesBareBincreasing?
a. WhatBhappened?BWhatBisBhappening?
b. WhyBdidBitBhappen?BWhatBareBtheBrootBcausesBofBpastBresults?
c. WillBitBhappenBinBtheBfuture?BWhatBisBtheBprobabilityBsomethingBwillBhappen?
BIsBitBforecastable?

d. WhatBshouldBweBdoBbasedBonBwhatBweBexpectBwillBhappen?BHowBdoBwe
optimizeBourBperformanceBbasedBonBpotentialBconstraints?”
9. (LOB1-
4)BWhatBvisualizationBtypeBisBmostBappropriateBforBevaluatingBtheBrelationshipsBbetw
eenBvalues?
a. BarBchart
b. PieBchart
c. Histogram
d. Scatterplot
10. (LOB1-5)BWhichBofBtheBfollowingBsoftwareBtoolsBspecializeBinBdataBvisualizations?
a. SPSSBandBPowerBQuery
b. AlteryxBandBTableauBPrep
c. PowerBBIBandBTableau
d. RBandBPython



Discussion Questions
B



1. (LOB1-
1)BTheBcomputerBisBbetterBatBautomated,BrepetitiveBtasksBsinceBitBcanBbeBpr
ogrammed.B TheBcomputerBisBalsoBnotBsubjectBtoBfatigueBandBcanBprocessBm
assiveBamountsBofBdataBeasierBthanBaBhumanBcan.B MostBofBtheBvalue-
addedBtasksBandBhigherBorderBthinkingBskills,BsuchBasBanalyzing,BevaluatingB
andBcreating,BareBperformedBbetterBbyBhumanBaccountantsBbecauseBtheyBar
eBnotBeasilyBprogrammedBbyBaBsetBofBfixedBrules.B TheBability
©BMcGrawBHillBLLC.BAllBrightsBreserved.BNoBreproductionBorBdistributionBwithoutBtheBpriorBwrittenBconsentBofBMcGrawBHillB
LLC.
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, ACCESS Test Bank for Introduction to Data Analytics for Accounting 2nd Editio
B B B B B B B B B B B

n Richardson B

Richardson,BTerrell,BTeeterB–BIntroductionBtoBDataBAnalyticsBforBAccounting,B2ndB EditionB–BChapterB1


toBrecognizeBtradeoffs,BevaluatingBalternatives,BandBevaluatingBadBhocBfactsBar
eBallBbetterBperformedBbyBhumans.
2. (LOB1-
2)BTheBskillsBtaughtBinBtheBintroductionBtoBfinancialBaccountingBwereBtheBlo
werBorderBthinkingBskillsB(notedBinBBloom’sBTaxonomy)BsuchBasBrememberi
ng,BunderstandingBandBapplying.B ApplicationBofBjournalBentries,Bcomputing
BtrialBbalances,BrecordingBtransactions,BbankBreconciliation,Betc.BareBallBexa

mplesBofBlowerBorderBskills.
3. (LOB1-
3)BAccountantsBunderstandBtheBtradeoffsBbetweenBrelevantBdataBandBreliab
leBdataB(suchBasBthatBdataBwhichBmightBexhibitBmoreBrepresentationalBfaithf
ulness).
AccountantsBalsoBunderstandBtheBtradeoffsBbetweenBunstructuredBandBstruct
uredBdata,BdataBinternalBorBexternalBtoBtheBcompany,BandBevenBtheBpotentialBc
ostBofBacquiringBandBprocessingBtheBdataBasBcomparedBtoBtheBpotentialBvalueB
providedBbyBuseBofBtheBdata.
4. (LOB1-
3)BMasteringBtheBdataBincludesBaccessing,Bcleaning,BandBtransformingBtheBd
ataBtoBprepareBtheBdataBforBanalysis.
5. (LOB1-
3)BDataBanalyticsBmightBbeBviewedBasBsuccessivelyBpeelingBtheBlayerBofBanBoni
on.BByBpeelingBtheBfirstBlayerBofBtheBonion,ByouBnowBareBableBtoBseeBtheBnextBl
ayerBandBevaluateBitBandBremoveBitBtoBgetBtoBtheBthirdBlayer,Betc.B OftenBtimes
,BtheBAMPSBmodelBmustBbeBperformedBmultipleBtimes,BrefiningBtheBquestionB(
AskBtheBQuestion),BpossiblyBconsideringBdifferentBtypesBofBdataB(MasterBtheB
Data),BperformingBadditionalBanalysisB(PerformBtheBAnalysis)BandBretellingBth
eBstoryBinBeachBiterationB(SharingBtheBStory)BbeforeBtheBissue/problem/challe
ngeBcanBbeBfinallyBaddressedBwithBsomeBconfidence.
6. (LOB1-
3)BDescriptiveBanalysisBreportsBwhatBhappened.B Generally,BevaluatingBtheBr
evenuesBandBearningsBperformanceBstartsBwithBdescriptiveBanalysisBandBcont
inuesBwithBdiagnosticBanalysisBtoBunderstandB“WhyBitBhappened?”.
7. (LOB1-4,BLOB1-
5)BDataBacquisitionBandBpreparationBsoftwareBtoolsBlikeBSQLBandBAlteryxBwo
rkBtoBgetBtheBdataBreadyBforBanalysis.B DataBvisualizationBsoftwareBtoolsBwor
kBtoBbothBanalyzeBdataB(asBpartBofB"PerformBtheBAnalysis"BinBtheBAMPSBmode
l)BandBtoBcommunicateBresultsB(asBpartBofB"ShareBtheBStory"BinBtheBAMPSBm
odel).


Brief Exercises
B



1. (LO1-1,BLO1-2):BMatchBtheBdataBanalyticsBtermBtoBitsBdataBanalyticsBdefinition:



©BMcGrawBHillBLLC.BAllBrightsBreserved.BNoBreproductionBorBdistributionBwithoutBtheBpriorBwrittenBconsentBofBMcGrawBHill
BLLC.

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