Audit Chapter 10

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17 Terms

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Reasons for audit sampling

  1. Evidence not in electronic form

  2. Data in different formats

  3. Weak internal controls

  4. Small audit population size

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What is sampling risk?

The possibility of reaching an incorrect conclusion because the sample is not representative of the population

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Risk of incorrect rejection (Type 1)

Risk of incorrectly rejecting a control or balance as ineffective/misstated when it is actually effective/correct

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Risk of incorrect acceptance (Type 2)

Risk of incorrectly accepting a control or balance as effective/correct when it is actually ineffective/misstated

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Key features of statistical sampling

  1. Uses probability laws

  2. Efficient sample sizing

  3. Quantifies risk

  4. Provides objective approach

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Key feature of non-statistical sampling

  1. Uses professional judgment

  2. No statistical risk measurement

  3. Flexible for smaller populations

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What affects sample size in statistical sampling?

  1. Level of assurance

  2. Tolerable misstatement

  3. Expected misstatement

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Tolerable misstatement

Maximum error an auditor will accept while still concluding the account balance is fairly stated

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Expected misstatement

Auditor’s estimate of the amount of error expected in the population

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Random sample selection method

Selection process where the auditor has no influence on choice, ensuring true population representation

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Systematic sample selection

Selection using a sampling interval to choose items systematically

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Haphazard sample selection

Non-methodical selection technique only permitted for non-statistical sampling

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Stratification

Dividing the population into groups with common characteristics

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Individually significant items

Items potentially containing misstatements exceeding tolerable misstatement threshold

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Ratio method

Estimation technique using audited value divided by book value of sample to project population value

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Difference method

Estimation by adding/subtracting project differences between audited and book values

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Drawback of sampling

The sample must be representative of the population and, therefore, likely to provide a reasonable basis for conclusions about the population