08 - Audit Assurance and Sampling Techniques.
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Transcript of 08 - Audit Assurance and Sampling Techniques.
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Audit Assurance andSampling Techniques.
Presentation to PPAk – UI Students
Theodorus Djoko Sutrisno
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Audit Assurance Model
Sources of
Assurance
SPECIFIC RISK IDENTIFIED SPECIFIC RISK NOT IDENTIFIED
Do Not Rely on
Controls
Adopt a Control
Reliance Strategy
Adopt a Control Reliance Strategy Do Not Rely on
Controls
Plan and Perfor
Focused Su!stanti"e
Tests
Plan and Perfor
Tests of Control
Acti"ities t#at Mitigate
Specific Identified
Ris$s%Plan and
Perfor a Basic &e"el
of Su!stanti"e Tests
Plan and Perfor
Tests of Control
Acti"ities t#at Address
Rele"ant Potential
Errors%Plan and
Perfor a Low &e"el
of Su!stanti"e Tests
Include Tests of
Control Acti"ities in
our Rotation Plan' !ut
do not Test t#e in
Current (ear%Plan and
Perfor a Basic &e"el
of Su!stanti"e Tests
Plan and Perfor an
Intermediate &e"el of
Su!stanti"e Tests
In#erent
Assurance
)*)
none
)*)
none
+*)
a,iu
+*)
a,iu
+*)
a,iu
ControlAssurance
)*)none
-*.a,iu
-*)oderate
+*.!asic
)*)none
Su!stanti"e
Assurance
.*)
focused
)*/
!asic
%
lo0
)*/
!asic
-*)
interediate
O"erall
Assurance .*) .*) .*) .*) .*)
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Perfor Tests of Controls
1 T#e audit approac# re2uires t#e use of attri!ute sapling to test
docuentary e"idence if a saple of docuentation is to !e tested as
t#e principal corro!orati"e e"idence of a control acti"ity
1 Saple si3e depends on t#e re2uired confidence le"el' t#e planned
precision and t#e e,pected occurrence rate of de"iations t#e
relations#ip is suari3ed in t#e follo0ing ta!le
Examination of Documents–Attribute Sampling
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Perfor Tests of Controls
Allowance for Deviation:
Tests of controls to:
) +
Mitigate specific ris$ 4maximum
control assurance5 67 /7
Potential errors 0it# no specific
identified ris$ 4moderate controlassurance5 -7 6)
Examination of Documents–Attribute Sampling
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Perfor Su!stanti"e Tests of DetailNonrepresentative Selection
Do not make
inferences about
unselected items
in the broaderpopulation based
on selected ones.
Obtain assurance
only about the
items selected.
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Perfor Su!stanti"e Tests of Details
1 8sed priarily as a focused su!stanti"e test
1 Does not relie"e responsi!ility to test reaining population' unless it is
nearly insignificant
1 May !e ore efficient to use t#is et#od for sall populations
Nonrepresentative Selection
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Perfor Su!stanti"e Tests of DetailRepresentative Saplin!
Infer
characteristics of
entire populationbased on
characteristics of
selected items.
Provides assurance
about items in
population that
have not been
selected.
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Perfor Su!stanti"e Tests of Details
Sample Selection Techniques
Statistical Saplin! Nonstatistical
Saplin!
Cuulati"e MonetaryAounts 4CMA5 Selection
% e*g* M8S 0or$!oo$
9udgent
T0o Strata 4TS5 Selection Rando Nu!ers
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Perfor Su!stanti"e Tests of Details
1 Considerations 0#en using a statistical sapling et#od:
; Assurance o!tained can !e precisely 2uantified
; Results in a representati"e saple 0it# less !ias
; Errors found in a statistical saple are pro<ected to t#e reaining
population using a statistical calculation
; Re2uired to pro"ided t#e list of uncorrected errors to anageentand t#e audit coittee= and anageent is re2uired to
represent t#at uncorrected errors are not aterial
Statistical Representative Sampling
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Perfor Su!stanti"e Tests of Details
1 In representati"e sapling t#e saple si3es are deterined !y using
t#e R factor associated 0it# t#e planned le"el of assurance 4R5 and
Monetary Precision 4MP5 to calculate t#e selection inter"al 495 as
follo0s:
" # $P%R
1 T#e saple si3e 4n5 is calculated as follo0s:
n # $%"
0#ere M is t#e total onetary aount of t#e population of audit
interest*
1 MP > ?)%@) , Materiality
Statistical Representative Sampling
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Perfor Su!stanti"e Tests of Details
1 B#ile it is possi!le to use non%statistical representati"e sapling'
consideration ust !e gi"en to t#e follo0ing:
; It is not appropriate to use non%statistical sapling as a eans to reduce
saple si3es 4i*e* 0e need to select at least as any ites as t#e nu!er
t#at 0e 0ould select using statistical sapling et#ods5
; Be need to select all ites in t#e population t#at indi"idually e,ceed 9 4top%
stratu ites5
; To alle"iate any concerns a!out t#e le"el of assurance o!tained fro a non%
statistical saple' 0e can increase t#e saple si3e' use ar!itrary
stratification guidelines' or use a co!ination of t#e t0o*
Non Statistical Representative Sampling
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E"aluate Results of Su!stanti"e Tests
1 &N'(N $ISSTAT)$)NTS
Be refer to onetary isstateents t#at 0e can 2uantify precisely as$no0n isstateents*
1 *I&)*+ $ISSTAT)$)NTS
&i$ely isstateents are t#ose t#at 0e cannot 2uantify precisely !ased
on t#e a"aila!le e"idence* &i$ely isstateents include:
; Pro<ected pro!a!le isstateents in populations tested t#roug#
representati"e sapling less t#e $no0n isstateents found in
perforing t#ese tests
; Estiated isstateents detected t#roug# su!stanti"e analytical
procedures
; Misstateents in accounting estiates t#at 0e <udge not to !e
reasona!le