Glossary/Audit procedures

Haphazard selection

Haphazard selection picks sample items without a structured technique, while trying to avoid conscious bias or predictability, and it is used in nonstatistical sampling only, not statistical sampling.

CORAA TeamUpdated November 5, 2026

Definition

The auditor picks items without a structured technique, for example by flipping through a stack of invoices, while trying to avoid bias and predictability. AU-C 530 recognizes it as a selection method for nonstatistical samples, with the caveat that it must not be influenced by items that are easy to reach, unusual, or that the auditor already knows. It is not random selection and cannot support statistical evaluation.

Why it matters in an audit or review

Haphazard picks tend to drift toward accessible, recent or small items. That drift defeats the representativeness the sample is meant to give, even if the sample size is adequate. In peer review, a file with a haphazard selection but no rationale invites a comment, and a statistically framed conclusion drawn from it is not supportable.

Example

An auditor needs 25 expense reports from 600 (illustrative). A warehouse of paper files has them in monthly folders. Taking whatever comes off the top of each folder favors the most recently filed. A better approach is a random number list mapped to folder and position, which removes the choice.

Common mistakes

  • Calling the sample random in the file when the selection was haphazard.
  • Selecting a block of consecutive items and treating it as representative.
  • Reusing the same haphazard choices year after year.

FAQ

When is haphazard selection acceptable?

Only in nonstatistical sampling, and only when the auditor can support that the selection was not biased.

Sources

  • AICPA, AU-C Section 530, Audit Sampling (methods of selection; haphazard selection not appropriate when using statistical sampling)

Definitions paraphrase AICPA and FASB guidance; read the standard itself before relying on a requirement. Example figures are illustrative. This page is guidance, not professional advice. Report an error

Standards

AU-C 530

Related terms

  • Random selection
    Random selection chooses sample items so that every item in the population has a known chance of selection, typically using a random number generator or random number table.
  • Audit sampling
    Audit sampling applies an audit procedure to less than 100 percent of the items in a population so that every sampling unit has a chance of selection, enabling conclusions about the whole population.
  • Sampling risk
    Sampling risk is the risk that the auditor's conclusion based on a sample would differ from the conclusion reached if the same procedure were applied to the entire population.
  • Key item testing
    Key item testing selects specific items for testing, such as large, unusual or high-risk entries, using judgment; results apply only to the items tested and cannot be projected to the rest of the population.

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