Statistical sampling
Statistical sampling uses random selection and probability theory to evaluate sample results, including sampling risk. A design not meeting both features is non-statistical; professional judgement is required under either approach.
Worked example
An auditor uses a random selection method and probability-based evaluation for a defined population.
Common mistake
A large sample alone is not statistical sampling if the selection and evaluation do not satisfy the required characteristics.
Where it appears in your exams
| Qualification | Exam | Relationship | Period |
|---|---|---|---|
| ACCA | AA | Direct | September 2026–June 2027 |