AUDITING CHAPTER 9

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AUDITING CHAPTER 9 Audit Sampling By David N. Ricchiute

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AUDITING CHAPTER 9. Audit Sampling By David N. Ricchiute. TOPICS. Use of sampling in audit engagements Role of sampling, nonsampling risk Risk of assessing control risk too high, too low Risks of incorrect rejection, acceptance Distinction between statistical, nonstatistical sampling - PowerPoint PPT Presentation

Transcript of AUDITING CHAPTER 9

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AUDITINGCHAPTER 9Audit SamplingByDavid N. Ricchiute

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GBW 8th ed., Ch. 92

TOPICSUse of sampling in audit engagementsRole of sampling, nonsampling risk

Risk of assessing control risk too high, too low Risks of incorrect rejection, acceptance

Distinction between statistical, nonstatistical samplingAudit sampling for tests of controls and substantive tests of details

Attribute estimation, sequential sampling Probability-proportional-to-size (PPS)

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GBW 8th ed., Ch. 93

SAMPLING:Definitions

Sampling: examining less than 100% of items in a populationPopulation: all items within a class of transactionsSampling plan: procedures to test a sampleAttributes sampling: tests rate of deviation from a prescribed control procedureVariables sampling: tests whether recorded account balances are fairly stated

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GBW 8th ed., Ch. 94

AUDIT RISKRisk that auditor may unknowingly fail

to modify opinion on materially misstated financial statements

2 parts Risk that errors will occur: uncontrollable

Inherent risk & control risk Risk that material errors will not be

detected: controllable Detection risk

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UNCERTAINTIESSampling risk Risk that sample may contain

disproportionately more/less error than exists in population

Nonsampling risk Aspects of audit risk not attributable

to sampling such as human error

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CONTROL RISK ASSESSMENT: Too HighInefficient

Assessing control risk at maximum when it should be lowerConcluding control not effective when it is

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CONTROL RISK ASSESSMENT: Too LowIneffective

Lowering control risk when should be set at maximumConcluding control is effective when it isn’t

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STATISTICAL SAMPLING

Apply the laws of probability to Design efficient sample Measure sufficiency of sample Evaluate sample resultsMeasures sampling risk quantitatively

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NONSTATISTICAL SAMPLING

Relies exclusively on judgment to Determine sample size Evaluate sample resultsCannot measure sampling risk quantitatively

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(NON)STATISTICAL SAMPLING CHOICE

Choice based on relative costs & benefitsIndependent of audit procedures

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ATTRIBUTES & DEVIATIONSAttribute

A characteristic of controlDeviation

Absence of the attribute

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ATTRIBUTE ESTIMATION SAMPLINGUsed to test controls that leave an

audit trail1Determine objectives, attributes,

deviation conditions2Define population3Define sample size4Perform sampling plan5Evaluate sample results

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ATTRIBUTE ESTIMATION SAMPLING: Objectives

Whether controls for class of transactions sufficiently effective to lower control risk below maximum Trail of observable & documented

evidence Does not rely primarily on

segregation of duties

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ATTRIBUTE ESTIMATION SAMPLING: Sample Size

Sample size components Acceptable risk of assessing control

risk too low Inverse relationship with sample size

Tolerable rate of deviation Maximum population rate of deviation

from control Expected population deviation rate

Estimated from prior year or pilot sample

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SAMPLE SELECTION METHODSARandom-number samplingBSystematic samplingCBlock samplingDHaphazard samplingEStratified

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SAMPLE SELECTION METHODS: Random Number

Uses computer-generated numbers to select sampling unitsMatch number to prenumbered documentsAppropriate for both statistical & nonstatistical sampling

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SAMPLE SELECTION METHODS: Systematic Sampling

Selecting every nth item from population of sequentially ordered itemsUseful when identification numbers lackingAppropriate for both statistical & nonstatistical sampling

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SAMPLE SELECTION METHODS: Block Sampling

A group of items arranged contiguously within a larger grouping Inefficient & not generalizableShould not be used for statistical or nonstatistical sampling without care in controlling sampling risk

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SAMPLE SELECTION METHODS: Haphazard Sampling

Sampling units selected without special reason or conscious biasInappropriate for statistical samplingUseful for nonstatistical sampling

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SAMPLE SELECTION METHODS: Stratified Sampling

Subdivide population into homogeneous strataSelect separate sample for each strata by one of prior methods

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OTHER TECHNIQUES: Sequential Sampling

Stop-or-go Performed in stages Auditor decides to stop or continue

sampling after each stage

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OTHER TECHNIQUES: Nonstatistical Sampling

Used when costs outweigh benefits of statistical samplingAuditor judgment guided by Experience Prior knowledge Current information

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SUBSTANTIVE SAMPLING RISK: 2 Sources

Risk of incorrect rejection Risk that audit sample suggests

account balance is materially misstated when it is fairly stated

Risk of incorrect acceptance Risk that sample suggests account

balance is fairly stated when it is materially misstated

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VARIABLES SAMPLING PLAN

Determine objectives of testDefine populationChoose sampling techniqueDetermine sample sizeDetermine method of sample selectionPerform sampling planEvaluate sample results

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OBJECTIVES OF TEST

To estimate account balance that is not recordedTo test reasonableness of recorded account balance

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DEFINING POPULATIONAudit population All items constituting an account

balance or class of transactions defined by auditor’s characteristic of interest

Sampling unit Any individual elements of a

population

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AUDIT SAMPLINGSampling used only for those accounts where it is appropriate When large number transactions

within one accountTechniques Probability proportional to size

(PPS) Nonstatistical sampling Classical variables sampling

(appendix)

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SAMPLING DECISIONSChoice between statistical & nonstatistical sampling based on Costs Effectiveness Need for quantitative estimate of

sampling risk

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PROBABILITY-PROPORTIONAL-TO-SIZE (PPS)

Derived from attributes sampling theoryAppropriate when 1 or a few errors expectedCharacteristics Automatically stratifies an audit population Appropriate for testing for overstatement

Useful for testing assets & revenues

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PPSAn Example

Define population for accounts receivable All customer debit balances testing

overstatement or All customer balances, including 0 &

negative Requires special consideration

Dollar is sample unit

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PPS SAMPLE SIZE ELEMENTS

Determine Reliability factor for overstatement

errors based on Expected number overstatement errors Risk of incorrect acceptance

Tolerable (acceptable) error Anticipated error & expansion factor

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PPS SAMPLE SIZE MODEL

n = RF x B TE – (AE x EF)where

RF – reliability factor (from table)B – book value (from client)TE – tolerable error (auditor judgment)AE – anticipated error (auditor judgment)EF – expansion factor (from table)

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PPS SAMPLE SELECTION

Used for statistical sampling methods Random number Systematic sampling

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EVALUATING RESULTS:PPS Decision Rule

If the upper error limit is less than or equal to the tolerable error, the account is fairly presented

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NONSTATISTICAL SAMPLINGUsed when

No apparent need to quantify sampling riskCost of statistical sampling exceeds benefitsCost to select sampling units exceeds benefits

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SAMPLE SIZE IN NONSTATISTICAL SAMPLING

Requires Degree audit assurance

Substantial, moderate, little Assurance factor Estimated tolerable error

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EVALUATING SAMPLE RESULTS

When likely error is estimated, auditor has 4 choices Accept client’s book value Propose audit adjustment Perform additional substantives

tests Request client to revalue entire

population