Non-statistical sampling

Definition

Non-statistical sampling is a method of selecting samples based on non-random criteria rather than random selection. This approach is often used when auditors and analysts need to gather evidence that is not statistically valid but is still relevant and practical for the assessment of financial statements.

5 Must Know Facts For Your Next Test

1. Non-statistical sampling is primarily based on the auditor's judgment, experience, and knowledge of the business rather than on mathematical principles.
2. This sampling method can be useful when dealing with small populations where statistical sampling might not yield meaningful results.
3. It is particularly effective in substantive testing procedures where qualitative aspects are more important than quantitative measures.
4. Non-statistical sampling can lead to bias if the auditor's judgment is flawed, making it critical for auditors to remain objective.
5. Documentation of non-statistical sampling decisions and rationale is essential to ensure transparency and support conclusions drawn during audits.

Review Questions

• How does non-statistical sampling differ from statistical sampling in terms of selection criteria and applicability?
  • Non-statistical sampling differs from statistical sampling in that it relies on non-random selection criteria rather than probability theory. While statistical sampling uses random methods to ensure that every member of the population has an equal chance of being selected, non-statistical sampling is based on the auditor's judgment and understanding of the business environment. This makes non-statistical sampling particularly applicable in scenarios where quick assessments are needed, or when populations are small and do not warrant complex statistical methods.
• Discuss how auditors can effectively implement non-statistical sampling during substantive testing procedures and what precautions they should take.
  • Auditors can effectively implement non-statistical sampling during substantive testing by carefully selecting items that are most relevant to the areas being tested, such as those with higher risk or complexity. Precautions include maintaining objectivity throughout the selection process and documenting the rationale behind chosen items to avoid potential bias. Additionally, auditors should be aware of their own limitations and consider combining non-statistical methods with other approaches to enhance reliability.
• Evaluate the implications of using non-statistical sampling for audit evidence collection in relation to financial statement accuracy and reliability.
  • Using non-statistical sampling for audit evidence collection has significant implications for the accuracy and reliability of financial statements. While it allows auditors to focus on specific areas of concern based on their judgment, there is a risk of introducing bias or overlooking critical data if selections are not carefully considered. This can ultimately impact the overall assessment of financial statement accuracy. Therefore, auditors must balance their use of this method with robust documentation and cross-referencing against other forms of evidence to strengthen their findings and provide a well-rounded conclusion.

Related terms

Statistical sampling: A method of sampling that uses random selection and probability theory to make inferences about a population based on the results from a sample.

Judgmental sampling: A sampling technique where the auditor uses their professional judgment to select specific items from a population, often focusing on higher risk areas.

Audit evidence: Information obtained by auditors to support their conclusions regarding the accuracy and fairness of financial statements.