1 au 350 sas 111 audit sampling c delano gray june 14, 2008
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AU 350 SAS 111
Audit Sampling
C Delano Gray
June 14, 2008
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Generally accepted auditing
standards
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1. The audit is to be performed by a person orpersons having adequate technical trainingand proficiency as an auditor.
2. The auditor must maintain independencein mental attitude in all matters relatingto the audit.
General Standards
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General Standards
3. The auditor must exercise due professionalcare in the performance of the audit and thepreparation of the report.
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1. The auditor must adequately plan the workand must properly supervise any assistants.
2. The auditor must obtain a sufficient Understanding of the entity and its environment, including its internal control, to assess the risk of material misstatement and to design further audit procedures.
Standards of Field Work
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Standards of Field Work
3. The auditor must obtain sufficient appropriateaudit evidence by performing audit proceduresto afford a reasonable basis for an opinion regarding the financial statements under audit.
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1. The report shall state whether the financialstatements are presented in accordance withgenerally accepted accounting principles.
2. The report shall identify those circumstancesin which such principles have not beenconsistently observed in the current periodin relation to the preceding period.
Standards of Reporting
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3. Informative disclosures in the financialstatements are to be regarded as reasonablyadequate unless otherwise stated in the report.
4. The report shall contain an expression ofopinion regarding the financial statements,taken as a whole.
Standards of Reporting
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Generally Accepted AuditingStandards
General Standards
1. Adequate training and proficiency
2. Independence in mental attitude
3. Due professional care
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Generally Accepted AuditingStandards
Standards of Field Work
1. Proper planning and supervision
2. Understanding of the entity
3. Sufficient appropriate evidence
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Generally Accepted AuditingStandards
Standards of Reporting
1. Statements prepared in accordance with GAAP
2. Circumstances when GAAP not followed
3. Adequacy of disclosures
4. Expression of opinion on financial statements
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Audit Sampling for Tests of Controls Substantive Tests of Transactions
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AICPA SAS 111
.01 Audit sampling is the application of an audit procedure to less
than 100 percent of the items within an account balance or class
of transactions for the purpose of evaluating some characteristic
of the balance or class.
This section provides guidance for planning, performing,
and evaluating audit samples.
Source AICPA
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.02 The auditor often is aware of account balances and
transactions that may be more likely to contain misstatements.
He considers this knowledge in planning his procedures,
including audit sampling.
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.03 There are two general approaches to audit sampling: non-statistical
and statistical. Both approaches require that the auditor use professional
Judgment in planning, performing, and evaluating a sample and in relating the
audit evidence produced by the sample to other audit evidence when forming
a conclusion about the related account balance or class of transactions. The
guidance in this section applies equally to non-statistical and statistical sampling.
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.04 The third standard of field work states, "The auditor must obtain sufficient
appropriate audit evidence by performing audit procedures to afford a
reasonable basis for an opinion regarding the financial statements under audit."
Either approach to audit sampling, when properly applied, can provide
sufficient audit evidence.
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Representative sampling.
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Representative 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 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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Distinguish between statistical
and nonstatistical sampling and
between probabilistic and non-
probabilistic sample selection.
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Statistical Versus Nonstatistical Sampling
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 Sampling
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 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 Sample Selection
1. Directed sample selection
2. Block sample selection
3. Haphazard sample selection
Nonprobabilistic:
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Probabilistic Versus Nonprobabilistic Sample Selection
1. Simple random sample selection
2. Systematic sample selection
3. Probability proportional to size sample selection
4. Stratified sample selection
Probabilistic:
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Nonprobabilistic SampleSelection 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 SampleSelection 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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Select representative samples.
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Probabilistic Sample Selection Methods
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 Methods
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 Methods
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 Methods
Stratified sample selection:
The population is divided into subpopulationsby size and larger samples are taken of thelarger subpopulations.
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Sampling 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 Rates
Following are types of exceptions inpopulations of accounting data:
1. Deviations from client’s established controls
2. Monetary misstatements in populationsof transaction data
3. Monetary misstatements in populations ofaccount balance details
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I: 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 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 the Audit Procedures
Step 10: Select the sample.
Step 11: Perform the audit procedures.
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III: 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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Effect on Sample Size of Changing 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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When planning a particular audit sample for a test of controls, the auditor should consider:• The relationship of the sample to the objective of the test of controls.• The maximum rate of deviations from prescribed controls that would support his planned assessed level of control risk.• The auditor's allowable risk of assessing control risk too low.• Characteristics of the population, that is, the items comprising the account balance or class of transactions of interest.
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Probability Proportion to Size
Probability proportional to size (PPS) is a sampling technique
for use with surveys or mini-surveys in which the probability
of selecting a sampling unit is proportional to the size of its
population. It gives a probability (i.e., random, representative)
sample.
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It is most useful when the sampling units vary considerably in size because it assures that those in larger dollar value Transaction have the same probability of getting into the sample as the smaller ones, and vice verse.
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Define and describe attributes
sampling and a sampling
distribution.
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Statistical Audit Sampling
The statistical sampling method mostcommonly used for tests of controlsand substantive tests of transactionsis attributes sampling.
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Sampling 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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Use of attributes sampling in tests
of controls and substantive
tests of transactions.
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Application of Attributes Sampling
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 Sampling Select the sample
Perform the audit procedures
Evaluate the results
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End
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