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SectionKey ConceptBrief Description
Introduction & ScopeScope & ObjectiveApplies when auditor uses sampling; objective is to draw conclusions about a population from a sample.
DefinitionsKey TermsDefines audit sampling, population, sampling risk, non-sampling risk, anomaly, sampling unit, statistical sampling, stratification, tolerable misstatement, and tolerable rate of deviation.
Sample Design, Size & SelectionDesign, Size, SelectionAuditor must design sample considering purpose and population; determine sufficient sample size; select items so each unit has a chance of selection.
Performing Audit ProceduresProcedures on Selected ItemsPerform procedures on each selected item; use replacement if procedure not applicable; treat inability to apply as deviation/misstatement.
Nature & Cause of Deviations/MisstatementsInvestigation & AnomaliesInvestigate nature and cause; evaluate effect; treat anomalies only in extremely rare circumstances with high certainty.
Projecting MisstatementsProjection for Tests of DetailsProject misstatements found in sample to population; exclude anomalies if appropriate.
Evaluating ResultsEvaluation & ConclusionsEvaluate sample results and whether sampling provided reasonable basis; consider projected + anomalous misstatement vs tolerable misstatement.
AppendicesStratification, Factors, MethodsGuidance on stratification, value-weighted selection, factors influencing sample size, and sample selection methods.
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Introduction & Scope (Para 1-4)

Scope of HKSA 530

HKSA 530 applies when the auditor uses audit sampling in performing audit procedures. It covers designing and selecting the sample, performing tests of controls and details, and evaluating results.

Complements HKSA 500 (Audit Evidence). Effective for periods beginning on or after 15 December 2009, with later revisions.

Objective

The objective is to provide a reasonable basis for the auditor to draw conclusions about the population from which the sample is selected.

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Definitions (Para 5)

Key Definitions

TermDefinition
Audit SamplingApplication of procedures to less than 100% of items, with all units having a chance of selection, to draw conclusions about the entire population.
PopulationThe entire set of data from which a sample is selected.
Sampling RiskRisk that conclusion based on sample differs from conclusion if entire population were tested.
Non-Sampling RiskRisk of erroneous conclusion for reasons not related to sampling (e.g., inappropriate procedures, misinterpretation).
AnomalyA misstatement or deviation demonstrably not representative of the population.
Sampling UnitIndividual items constituting a population (e.g., physical items, monetary units).
Statistical SamplingRandom selection + use of probability theory to evaluate results.
StratificationDividing population into sub-populations with similar characteristics.
Tolerable MisstatementMonetary amount set by auditor; application of performance materiality to a sampling procedure.
Tolerable Rate of DeviationRate of deviation from prescribed controls set by auditor.
Sampling risk has two types: Type I (incorrect acceptance) affects effectiveness; Type II (incorrect rejection) affects efficiency.
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Sample Design, Size & Selection (Para 6-8)

Sample Design (Para 6)

When designing an audit sample, the auditor shall consider the purpose of the audit procedure and the characteristics of the population from which the sample will be drawn.

Considerations include: specific purpose, combination of procedures, nature of evidence, possible deviation/misstatement conditions, and completeness of population.

Sample Size (Para 7)

The auditor shall determine a sample size sufficient to reduce sampling risk to an acceptably low level.

Lower acceptable sampling risk โ†’ larger sample size needed.

Selection of Items (Para 8)

The auditor shall select items so that each sampling unit in the population has a chance of selection.

MethodDescription
Random selectionUsing random number generators or tables.
Systematic selectionDividing population by sample size to get interval, then selecting every nth item.
Haphazard selectionSelecting without structured technique but avoiding bias.
Monetary Unit Sampling (MUS)Value-weighted selection.
Block selectionSelecting contiguous items (generally NOT appropriate).
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Performing Audit Procedures (Para 9-11)

Procedures on Selected Items (Para 9)

The auditor shall perform audit procedures appropriate to the purpose on each item selected.

Replacement Items (Para 10)

If the audit procedure is not applicable to the selected item, the auditor shall perform the procedure on a replacement item.

Example: If a voided check is selected, and auditor is satisfied it was properly voided, an appropriately chosen replacement is examined.

Inability to Apply Procedures (Para 11)

If unable to apply designed or suitable alternative procedures, treat the item as:

  • A deviation from prescribed control (tests of controls)
  • A misstatement (tests of details)
Example: Documentation lost โ†’ treat as deviation/misstatement. Alternative procedure: examine subsequent cash receipts for positive confirmation non-response.
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Nature & Cause of Deviations/Misstatements (Para 12-13)

Investigation (Para 12)

The auditor shall investigate the nature and cause of any deviations or misstatements identified, and evaluate their possible effect on the purpose of the audit procedure and other areas of the audit.

If many deviations/misstatements share a common feature (e.g., type of transaction, location, time period), the auditor may identify all items with that feature and extend procedures.

Anomalies (Para 13)

In extremely rare circumstances, if the auditor considers a misstatement or deviation to be an anomaly, the auditor must obtain a high degree of certainty that it is not representative of the population.

Requirements: (1) Extremely rare circumstances, (2) High degree of certainty, (3) Additional audit procedures to confirm it does not affect the remainder of the population.
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Projecting Misstatements (Para 14)

Projection for Tests of Details

For tests of details, the auditor shall project misstatements found in the sample to the population.

The projection provides a broad view of the scale of misstatement but may not be sufficient to determine an amount to be recorded.

Treatment of Anomalies

If a misstatement is established as an anomaly, it may be excluded when projecting misstatements. However, the effect of any such uncorrected misstatement still needs to be considered in addition to the projection of non-anomalous misstatements.

For tests of controls, no explicit projection of deviations is necessary; the sample deviation rate is also the projected deviation rate for the population.
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Evaluating Results (Para 15)

Evaluation of Sample Results

The auditor shall evaluate (a) the results of the sample, and (b) whether the use of audit sampling has provided a reasonable basis for conclusions about the tested population.

Test TypeUnexpectedly High ResultAction
Tests of controlsHigh sample deviation rateMay increase assessed risk of material misstatement unless further evidence substantiates initial assessment.
Tests of detailsHigh misstatement amountMay cause auditor to believe class/balance is materially misstated unless further evidence shows otherwise.

Best Estimate of Misstatement

Projected misstatement + anomalous misstatement = auditor's best estimate of misstatement in the population.

If projected + anomalous misstatement exceeds tolerable misstatement, the sample does NOT provide a reasonable basis for conclusions.

Remedial Actions

If sampling has not provided a reasonable basis, the auditor may:

  • Request management to investigate and adjust.
  • Tailor further audit procedures (e.g., extend sample size, test alternative control, modify substantive procedures).
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Appendices Summary

Appendix 1: Stratification & Value-Weighted Selection

Stratification divides population into sub-populations with similar characteristics to reduce variability and allow smaller sample sizes. Value-weighted selection uses monetary units as sampling units, directing effort to larger items.

Appendix 2: Factors Influencing Sample Size for Tests of Controls

FactorEffect on Sample Size
Increase in reliance on controlsIncrease
Increase in tolerable rate of deviationDecrease
Increase in expected rate of deviationIncrease
Increase in desired level of assuranceIncrease
Increase in number of sampling units (large populations)Negligible

Appendix 3: Factors Influencing Sample Size for Tests of Details

FactorEffect on Sample Size
Increase in risk of material misstatementIncrease
Increase in use of other substantive proceduresDecrease
Increase in desired level of assuranceIncrease
Increase in tolerable misstatementDecrease
Increase in expected misstatementIncrease
StratificationDecrease
Increase in number of sampling units (large populations)Negligible

Appendix 4: Sample Selection Methods

MethodNotes
Random selectionEach item has known probability of selection.
Systematic selectionEnsure population not structured to correspond with interval.
Monetary Unit Sampling (MUS)Value-weighted selection; results in monetary conclusions.
Haphazard selectionNot appropriate for statistical sampling.
Block selectionGenerally not appropriate for audit sampling.

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