Accounting 3rd Edition by Vernon
Richardson, Ryan A. Teeter & Katie
L. Terrell
ALL CHAPTERS 1-9| A+ PASS
ALL ANSWERS AT THE BACK OF EACH CHAPTER
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, Chapter1001
TRUE/FALSE10-10Write10'T'10if10the10statement10is10true10and10'F'10if10the10statement10is10false.
1) Data10analytics10is10the10process10of10evaluating10data10with10the10purpose10of10drawing10conclus
ions10to10address10business10questions.
⊚ true
⊚ false
2) The10process10of10data10analytics10aims10to10transform10raw10information10into10data10to10create10value.
⊚ true
⊚ false
3) Data10analytics10has10the10potential10to10transform10the10manner10in10which10companies10run10t
heir10businesses,10however10it10is10not10practical10in10the10near10future.
⊚ true
⊚ false
4) Auditors10can10use10social10media10to10hear10what10customers10are10saying10about10a10company10and
10compare10this10to10inventory10obsolescence10and10other10estimates.
⊚ true
⊚ false
5) Data10analytics10allows10auditors10to10glean10insights10that10are10beneficial10to10the10client,10wit
hout10breeching10independence.
⊚ true
⊚ false
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,6) The10predictive10analytics10is10an10important10aspect10of10data10analytics10for10auditors,10but10is10n
ot10applicable10for10tax10accountants.
⊚ true
⊚ false
7) The10I10in10IMPACT10Cycle10represents10Identify10the10Question.
⊚ true
⊚ false
8) The10M10in10IMPACT10Cycle10represents10Master10the10Data.
⊚ true
⊚ false
9) The10P10in10IMPACT10Cycle10represents10Predict10the10Results.
⊚ true
⊚ false
10) The10A10in10IMPACT10Cycle10represents10Analyze10the10Data.
⊚ true
⊚ false
11) The10C10in10IMPACT10Cycle10represents10Continuously10Track.
⊚ true
⊚ false
12) The10T10in10IMPACT10Cycle10represents10Track10Outcomes.
⊚ true
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, ⊚ false
13) The10IMPACT10cycle10is10iterative,10as10insights10are10gained,10outcomes10are10tracked,10and10ne
w10questions10are10identified.
⊚ true
⊚ false
14) Data10analysis10through10data10manipulation10is10performing10basic10analysis10to10understand10the1
0quality10of10the10underlying10data10and10its10ability10to10address10the10business10question.
⊚ true
⊚ false
15) To10be10proficient10in10data10analysis,10accountants10need10to10become10data10scientists.
⊚ true
⊚ false
16) By10developing10an10analytics10mindset,10accountants10will10be10able10to10recognize10when1
0and10how10data10analytics10can10address10business10questions.
⊚ true
⊚ false
17) While10it10is10important10for10accountants10to10clearly10articulate10the10business10problem,10drawi
ng10appropriate10conclusions,10based10on10the10data,10should10be10left10to10statisticians.
⊚ true
⊚ false
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