Test Bank Introduction to Data Analytics for Accounting, 2nd Edition Richardson
x x x x x x x x x x
Chap 01 2e x x
1) "Create" x is x the xhighest x skill x in x Bloom's
x Taxonomy.
⊚ true
⊚ false
2) "Understand" xis xthe xlowest xskill xin
x Bloom's xTaxonomy.
⊚ true
⊚ false
3) "Remember" xis x a x higher xskill x than x "Understand" x in x Bloom's x Taxonomy.
⊚ true
⊚ false
4) "Ask xthe xRight xQuestion" xis xone xof xthe xdesired xskills xfor xaccounting
x professionals, xconsistent xwith xEY's x"The xAnalytics xMindset".
⊚ true
⊚ false
5) "Communicate xresults xwith xmanagement" xis xone xof xthe xdesired xskills xfor
xaccounting xprofessionals, xconsistent xwith xEY's x"The xAnalytics
xMindset".
⊚ true
⊚ false
6) "Extract, xTransform xand xLoad xRelevant xData" xis xone xof xthe xdesired xskills
xfor xaccounting xprofessionals, xconsistent xwith xEY's x"The xAnalytics
xMindset".
⊚ true
⊚ false
1
,7) Of xthe xoptions xlisted xbelow, xwhich xis xthe xlowest xlevel xof xthinking xskills
x in xBloom's xTaxonomy?
A) Create
B) Understand
C) Apply
D) Analyze
8) Of xthe xoptions xlisted xbelow, xwhich xis xthe xhighest xlevel xof xthinking xskills
x in xBloom's xTaxonomy?
A) Evaluate
B) Apply
C) Analyze
D) Understand
9) Which xis xthe xappropriate xordering xof xthinking xskills xin xBloom's xTaxonomy, xwhere
xthe x">" xsymbol xmeans xhigher xorder xskills?
A) Evaluate x> x Apply
B) Remember x> x Understand
C) Apply x > x Analyze
D) Analyze x> x Evaluate
10) Which xcomponent x of x the xAMPS xmodel x would x usually x involve xcreating x a x pivottable?
A) Ask x the x Question
B) Master x the x Data
C) Perform x the x Analysis
D) Share xthe x Story
11) Which xcomponent xof xthe xAMPS xmodel xmost xappropriately xaddresses xthe xskill
x mentioned xby xEY's xanalytics xmindset xof x"extract, xtransform xand xload xrelevant xdata"?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
2
,12) Use xof xa xdashboard xto xtrack xrelevant xoutcomes xwould xbe xconsistent xwith xwhich
x component xof xthe xAMPS xmodel?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
13) A x visualization x may xbe xused x to x help x with xwhich x component x of x the xAMPS x model?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
14) Benford's xlaw x might x be xused x as x part x of x which x component x of xthe xAMPS x model?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
15) What xtype xof xquestion(s) xworks xto xexplain x"Why xdid xoverall xtax xincrease xeven
x though xnet xincome xdid xnot?"
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
xIs xit xforecastable?
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
16) What xtype xof x question x is x used x in x finding xthe xlevel x of x sales x needed x to x break x even?
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
Is xit xforecastable?
x
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
3
, 17) What xtype xof xquestion xis xused xin xlearning xhow xmuch xthe xcompany xpaid xin
x interest xexpenses xlast xyear?
A) What xhappened? xWhat xis x happening?
B) Why xdid xit x happen? x What x are x the xroot x causes x of xpast x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
xIs xit xforecastable?
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xWhat xshould xwe
xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe xoptimize xour
xperformance xbased xon xpotential xconstraints?
18) What xtype xof x question xis xpredicting x whether xborrowers x will x be xable xto x repay x their x loans?
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
Is xit xforecastable?
x
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
19) What xtype xof xquestion xis xused xin xdetermining xhow xto xmaximize xrevenues xif xthere xis
x a xtrade xwar xwith xChina?
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
xIs xit xforecastable?
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
20) The xaccuracy, x validity xand x consistency x of xdata xused xand x stored x over xtime xis x called
A) data xveracity.
B) data xintegrity.
C) data xquality.
D) truthful xdata.
4
x x x x x x x x x x
Chap 01 2e x x
1) "Create" x is x the xhighest x skill x in x Bloom's
x Taxonomy.
⊚ true
⊚ false
2) "Understand" xis xthe xlowest xskill xin
x Bloom's xTaxonomy.
⊚ true
⊚ false
3) "Remember" xis x a x higher xskill x than x "Understand" x in x Bloom's x Taxonomy.
⊚ true
⊚ false
4) "Ask xthe xRight xQuestion" xis xone xof xthe xdesired xskills xfor xaccounting
x professionals, xconsistent xwith xEY's x"The xAnalytics xMindset".
⊚ true
⊚ false
5) "Communicate xresults xwith xmanagement" xis xone xof xthe xdesired xskills xfor
xaccounting xprofessionals, xconsistent xwith xEY's x"The xAnalytics
xMindset".
⊚ true
⊚ false
6) "Extract, xTransform xand xLoad xRelevant xData" xis xone xof xthe xdesired xskills
xfor xaccounting xprofessionals, xconsistent xwith xEY's x"The xAnalytics
xMindset".
⊚ true
⊚ false
1
,7) Of xthe xoptions xlisted xbelow, xwhich xis xthe xlowest xlevel xof xthinking xskills
x in xBloom's xTaxonomy?
A) Create
B) Understand
C) Apply
D) Analyze
8) Of xthe xoptions xlisted xbelow, xwhich xis xthe xhighest xlevel xof xthinking xskills
x in xBloom's xTaxonomy?
A) Evaluate
B) Apply
C) Analyze
D) Understand
9) Which xis xthe xappropriate xordering xof xthinking xskills xin xBloom's xTaxonomy, xwhere
xthe x">" xsymbol xmeans xhigher xorder xskills?
A) Evaluate x> x Apply
B) Remember x> x Understand
C) Apply x > x Analyze
D) Analyze x> x Evaluate
10) Which xcomponent x of x the xAMPS xmodel x would x usually x involve xcreating x a x pivottable?
A) Ask x the x Question
B) Master x the x Data
C) Perform x the x Analysis
D) Share xthe x Story
11) Which xcomponent xof xthe xAMPS xmodel xmost xappropriately xaddresses xthe xskill
x mentioned xby xEY's xanalytics xmindset xof x"extract, xtransform xand xload xrelevant xdata"?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
2
,12) Use xof xa xdashboard xto xtrack xrelevant xoutcomes xwould xbe xconsistent xwith xwhich
x component xof xthe xAMPS xmodel?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
13) A x visualization x may xbe xused x to x help x with xwhich x component x of x the xAMPS x model?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
14) Benford's xlaw x might x be xused x as x part x of x which x component x of xthe xAMPS x model?
A) Ask x the x Question
B) Master xthe x Data
C) Perform x the x Analysis
D) Share xthe x Story
15) What xtype xof xquestion(s) xworks xto xexplain x"Why xdid xoverall xtax xincrease xeven
x though xnet xincome xdid xnot?"
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
xIs xit xforecastable?
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
16) What xtype xof x question x is x used x in x finding xthe xlevel x of x sales x needed x to x break x even?
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
Is xit xforecastable?
x
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
3
, 17) What xtype xof xquestion xis xused xin xlearning xhow xmuch xthe xcompany xpaid xin
x interest xexpenses xlast xyear?
A) What xhappened? xWhat xis x happening?
B) Why xdid xit x happen? x What x are x the xroot x causes x of xpast x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
xIs xit xforecastable?
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xWhat xshould xwe
xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe xoptimize xour
xperformance xbased xon xpotential xconstraints?
18) What xtype xof x question xis xpredicting x whether xborrowers x will x be xable xto x repay x their x loans?
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
Is xit xforecastable?
x
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
19) What xtype xof xquestion xis xused xin xdetermining xhow xto xmaximize xrevenues xif xthere xis
x a xtrade xwar xwith xChina?
A) What xhappened? xWhat xis x happening?
B) Why xdid x it xhappen? x What x are xthe xroot x causes x of x past x results?
C) Will xit xhappen xin xthe xfuture? xWhat xis xthe xprobability xsomething xwill xhappen?
xIs xit xforecastable?
D) What xshould xwe xdo xbased xon xwhat xwe xexpect xwill xhappen? xHow xdo xwe
xoptimize xour xperformance xbased xon xpotential xconstraints?
20) The xaccuracy, x validity xand x consistency x of xdata xused xand x stored x over xtime xis x called
A) data xveracity.
B) data xintegrity.
C) data xquality.
D) truthful xdata.
4
