Foundations of Audit Sampling

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A series of vocabulary flashcards to help understand key concepts related to audit sampling for exam preparation.

Last updated 8:17 PM on 3/23/26
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53 Terms

1
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What is audit sampling?

The process of selecting and evaluating a sample from a population to draw conclusions about the entire population.

2
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What does 'representative sample' mean?

A sample that leads to the same conclusions as testing the entire population.

3
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Why do auditors use sampling?

Because testing the entire population is too costly and inefficient.

4
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What is sampling risk?

The risk that the auditor’s conclusion based on a sample differs from the conclusion if the whole population was tested.

5
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How can sampling risk be reduced?

By increasing sample size.

6
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What is nonsampling risk?

Risk caused by auditor errors (wrong procedures, misinterpretation, etc.).

7
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How is nonsampling risk reduced?

Through proper planning, supervision, and quality control.

8
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What is statistical sampling?

Sampling that uses statistical methods to plan, select, and evaluate samples.

9
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Main advantage of statistical sampling?

It allows auditors to measure and control sampling risk.

10
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What is nonstatistical sampling?

Sampling based on auditor judgment without statistical measurement of risk.

11
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Key disadvantage of nonstatistical sampling?

Cannot quantify sampling risk.

12
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Can both statistical and nonstatistical sampling provide valid evidence?

Yes.

13
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What is random selection?

Every item has an equal chance of being selected.

14
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What is systematic selection?

Selecting every nth item after a random starting point.

15
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Risk of systematic sampling?

Bias if the population has patterns.

16
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What is haphazard selection?

Selecting items without structure but without intentional bias.

17
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What is block selection?

Selecting a group of items (like a time period).

18
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Why is block sampling weak?

It may not be representative of the population.

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What is stratification?

Dividing a population into smaller, similar groups (strata).

20
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Why do auditors stratify?

To increase efficiency and reduce sample size.

21
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How are large/high-risk items treated in stratification?

They are often tested 100%.

22
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What are sampling plans?

Procedures used to achieve audit objectives.

23
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What are the two main types of sampling plans?

Attributes (occurrence rate) and variables (dollar amounts).

24
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What does attributes sampling measure?

The rate of deviations from a control.

25
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What is a deviation?

A failure of a control to operate properly.

26
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Does a deviation always mean a misstatement?

No.

27
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What is the tolerable deviation rate?

The maximum deviation rate auditors are willing to accept.

28
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What is the expected deviation rate?

The deviation rate auditors expect in the population.

29
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Relationship: Expected deviation ↑ → sample size?

Sample size increases.

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Relationship: Tolerable deviation ↑ → sample size?

Sample size decreases.

31
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What is the risk of assessing control risk too HIGH?

Thinking controls are worse than they actually are.

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Effect of risk too HIGH?

More testing than necessary (inefficient audit).

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What is the risk of assessing control risk too LOW?

Thinking controls are better than they actually are.

34
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Why is risk too LOW dangerous?

Leads to less testing and possible audit failure.

35
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Which risk is more important?

Risk of assessing control risk too LOW.

36
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First step in attributes sampling?

Determine the objective of the test.

37
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What must be defined before testing?

Attributes and deviation conditions.

38
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What must be specified before sampling?

Risk of assessing control risk too low and tolerable deviation rate.

39
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What affects sample size in attributes sampling?

Risk, tolerable deviation, expected deviation.

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What do auditors calculate after testing?

Deviation rate.

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What is the achieved upper deviation rate?

The maximum deviation rate supported by the sample.

42
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Decision rule: Upper deviation vs tolerable?

If upper ≤ tolerable → control is reliable; If upper > tolerable → control is not reliable.

43
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What do substantive tests measure?

Dollar misstatements.

44
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What is the risk of incorrect acceptance?

Concluding no misstatement when one exists.

45
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Why is incorrect acceptance dangerous?

Leads to issuing wrong audit opinion.

46
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What is the risk of incorrect rejection?

Concluding misstatement exists when it doesn’t.

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Effect of incorrect rejection?

Inefficient audit (extra work).

48
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What is MUS?

Sampling where each dollar is a sampling unit.

49
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Key feature of MUS?

Larger dollar amounts are more likely to be selected.

50
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What is classical variables sampling?

Sampling based on accounts/transactions.

51
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Biggest concern in sampling?

Missing a material misstatement.

52
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What increases sample size?

Higher expected deviation, lower tolerable deviation, lower acceptable risk.

53
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What decreases sample size?

Higher tolerable deviation, higher acceptable risk.

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