Audit Sampling for Tests of Controls and Substantive Tests of Transactions
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Audit Sampling for Tests of Audit Sampling for Tests of Controls and Substantive Tests of Controls and Substantive Tests of
TransactionsTransactions
Chapter 15Chapter 15
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Learning Objective 1Learning Objective 1
Explain the concept ofExplain the concept ofrepresentative sampling.representative sampling.
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Representative SamplesRepresentative Samples
A representative sample is one in whichthe characteristics in the sample of auditinterest are approximately the same asthose of the population.
Nonsampling risk is the risk that audittests do not uncover existing exceptionsin the sample.
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Representative SamplesRepresentative Samples
Sampling risk is the risk that an auditorreaches an incorrect conclusionbecause the sample is notrepresentative of the population.
Sampling risk is an inherent part ofsampling that results from testingless than the entire population.
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Minimizing Sampling RiskMinimizing Sampling Risk
1. Adjust sample size
2. Use an appropriate method of selectingsample items from the population
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Learning Objective 2Learning Objective 2
Distinguish between statisticalDistinguish between statisticaland nonstatistical sampling andand nonstatistical sampling andbetween probabilistic and non-between probabilistic and non-probabilistic sample selection.probabilistic sample selection.
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Statistical Versus Nonstatistical Statistical Versus Nonstatistical SamplingSampling
Step 1: Plan the sample
Step 2: Select the sample and perform the tests
Step 3: Evaluate the results
Similarities:
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Statistical Versus Nonstatistical Statistical Versus Nonstatistical SamplingSampling
Statistical sampling allows the quantificationof sampling risk in planning the sample (Step 1)and evaluating the results (Step 3)
In nonstatistical sampling those items thatthe auditor believes will provide the mostuseful information are selected
Differences:
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Probabilistic Versus Nonprobabilistic Probabilistic Versus Nonprobabilistic Sample Selection Sample Selection
Probabilistic sample selection is a methodof selecting a sample such that eachpopulation item has a known probabilityof being included in the sample.
Nonprobabilistic sample selection is amethod in which the auditor uses professionaljudgment rather than probabilistic methods.
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Probabilistic Versus Nonprobabilistic Probabilistic Versus Nonprobabilistic Sample Selection Sample Selection
1. Directed sample selection2. Block sample selection3. Haphazard sample selection
Nonprobabilistic:
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Probabilistic Versus Nonprobabilistic Probabilistic Versus Nonprobabilistic Sample SelectionSample Selection
1. Simple random sample selection2. Systematic sample selection3. Probability proportional to size sample selection4. Stratified sample selection
Probabilistic:
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Nonprobabilistic SampleNonprobabilistic SampleSelection MethodsSelection Methods
Directed sample selection is the selection ofeach item based on auditor judgmental criteria.
Items most likely to contain misstatements
Items containing selected population characteristics
Large dollar coverage
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Nonprobabilistic SampleNonprobabilistic SampleSelection MethodsSelection Methods
Block sample selection is the selectionof several items in sequence.
Haphazard sample selection is the selectionof items without any conscious bias on the part of the auditor.
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Learning Objective 3Learning Objective 3
Select representative samples.Select representative samples.
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Probabilistic Sample Selection Probabilistic Sample Selection MethodsMethods
A simple random sample is one in whichevery possible combination of elementsin the population has an equal chanceof constituting the sample.
Computer generation of random numbers
Random number tables
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Probabilistic Sample Selection Probabilistic Sample Selection MethodsMethods
Systematic sample selection:
The auditor calculates an interval andthen selects the items for the samplebased on the size of the interval.
The interval is determined by dividingthe population size by the number ofsample items desired.
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Probabilistic Sample Selection Probabilistic Sample Selection MethodsMethods
Probability proportional to size:
A sample is taken where the probabilityof selecting any individual population itemis proportional to its recorded amount (PPS).
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Probabilistic Sample Selection Probabilistic Sample Selection MethodsMethods
Stratified sample selection:
The population is divided into subpopulationsby size and larger samples are taken of thelarger subpopulations.
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Learning Objective 4Learning Objective 4
Define and describe auditDefine and describe auditsampling for exception rates.sampling for exception rates.
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Sampling for Exception RatesSampling for Exception Rates
The occurrence rate, or exception rate,is the ratio of the items containing thespecific attribute to the total numberof population items.
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Sampling for Exception RatesSampling for Exception Rates
Following are types of exceptions inpopulations of accounting data:
1. Deviations from client’s established controls2. Monetary misstatements in populations
of transaction data3. Monetary misstatements in populations of
account balance details
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Learning Objective 5Learning Objective 5
Use nonstatistical sampling inUse nonstatistical sampling intests of controls and substantivetests of controls and substantivetests of transactions.tests of transactions.
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Terms Used in Audit SamplingTerms Used in Audit Sampling
Characteristic or attribute Acceptable risk of assessing control risk too
low (ARACR) Tolerable exception rate (TER) Estimated population exception rate (EPER) Initial sample size
Terms related to planning:
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Terms Used in Audit SamplingTerms Used in Audit Sampling
Exception Sample exception rate (SER) Computed upper exception rate (CUER)
Terms related to evaluating results:
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I: Plan the SampleI: Plan the Sample
Step 1: State the objectives of the audit test.
Step 2: Decide whether audit sampling applies.
Step 3: Define attributes and exception conditions.
Step 4: Define the population.
Step 5: Define the sampling unit.
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I: Plan the SampleI: Plan the Sample
Step 7: Specify acceptable risk of assessing control risk too low.
Step 8: Estimate the population exception rate.
Step 9: Determine the initial sample size.
Step 6: Specify the tolerable exception rate.
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II: Select the Sample and Perform II: Select the Sample and Perform the Audit Proceduresthe Audit Procedures
Step 10: Select the sample.
Step 11: Perform the audit procedures.
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III: Evaluate the ResultsIII: Evaluate the Results
Step 12: Generalize from the sample to the population.
Step 13: Analyze exceptions.
Step 14: Decide the acceptability of the population.
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Guidelines for ARACR and TER Guidelines for ARACR and TER Tests of ControlTests of Control
Assessed control risk. Consider:Need to issue a separate report on internal control
over financial reporting for public companiesNature, extent, and timing of substantive testsQuality of evidence available for tests of controls
Factor
Lowest assessed control risk Moderate assessed control risk Higher assessed control risk 100% assessed control risk
Judgment ARACR of low ARACR of medium ARACR of high ARACR not applicable
Guideline
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Guidelines for ARACR and TER Guidelines for ARACR and TER Tests of ControlTests of Control
Significance of the transactions and relatedaccount balances that the internalcontrols are intended to affect
Factor
Highly significant balances Significant balances Less significant balances
Judgment TER of 4% TER of 5% TER of 6%
Guideline
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Guidelines for ARACR and TER Guidelines for ARACR and TER Tests of TransactionsTests of Transactions
Results of understandinginternal control andtests of controls
Planned reduction insubstantive tests ofdetails of balances
Large
Moderate
Small
ExcellentGoodNot good
ExcellentGoodNot good
ExcellentGoodNot good
ARACR forsubstantive tests of transactionsHighMediumLow
HighMediumMedium-low
HighMedium-highMedium
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Guidelines for ARACR and TER Guidelines for ARACR and TER Tests of Transactions Tests of Transactions (cont’d)(cont’d)
Planned reduction insubstantive tests ofdetails of balances
TER for substantivetests of transactions
Percent or amountbased on materialityconsiderations
Percent or amountbased on materialityconsiderations
Percent or amountbased on materialityconsiderations
Large
Moderate
Small
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Effect on Sample Size of Effect on Sample Size of Changing FactorsChanging Factors
Effect on initialType of change sample size
Increase acceptable risk ofassessing control risk too low Decrease
Increase tolerable risk rate Decrease
Increase estimated populationexception rate Increase
Increase population size Increase (minor)
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Actions When Population isActions When Population isNot AcceptableNot Acceptable
Revise TER or ARACR
Expand the sample size
Revise assessed control risk
Communicate with the auditcommittee or management
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Summary of Audit Sampling StepsSummary of Audit Sampling Steps
Plan the sample(Steps 1-9)
Select the sample(Step 10)
Perform the tests(Step 11)
Evaluate the results(Steps 12-14)
Number ofexceptionsin sampleand actual
sample size
To Step 12To Step 14
From
Step
12
Com
pare
To/From Step 6
Computedupper
exceptionrate
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Learning Objective 6Learning Objective 6
Define and describe attributesDefine and describe attributessampling and a samplingsampling and a samplingdistribution.distribution.
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Statistical Audit SamplingStatistical Audit Sampling
The statistical sampling method mostcommonly used for tests of controlsand substantive tests of transactionsis attributes sampling.
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Sampling DistributionSampling Distribution
It is a frequency distribution of the resultsof all possible samples of a specified sizethat could be obtained from a populationcontaining some specific parameters.
Attributes sampling is based on thebinomial distribution.
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Learning Objective 7Learning Objective 7
Use attributes sampling in testsUse attributes sampling in testsof controls and substantiveof controls and substantivetests of transactions.tests of transactions.
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Application of Attributes Application of Attributes SamplingSampling
ii. Locate the TER on the top of the table
iii. Locate the EPER in the far left column
i. Select the table corresponding to the ARACR
iv. Read down the appropriate TER column untilit intersects with the appropriate EPER rowin order to get the initial sample size
Use of the tables:
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Application of Attributes Application of Attributes SamplingSampling
Population size is a minor considerationin determining sample size
Representativeness is ensured by the sampleselection process more than by sample size
Effect of population size:
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Application of Attributes Application of Attributes SamplingSampling
Select the sample
Perform the audit procedures
Evaluate the results
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End of Chapter 15End of Chapter 15