Non-random sampling
In this lesson, you'll learn the key differences between non-random sampling methods and when to use them in audit and assurance work.
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In this lesson
- 0:00 Non-random sampling overview
- 1:44 Cluster sampling explained
- 3:37 Quota sampling method
- 5:16 Systematic sampling question
- 6:18 Comparing sampling methods
About this lesson
Non-random sampling is essential when a complete sampling frame isn't available or isn't practical—such as testing customer opinions on new products or when the population is too large to define. You'll explore two main approaches: cluster sampling, where you select one definable subsection of the population, and quota sampling, where you divide the population into groups and sample a fixed number from each. Both methods are cost-effective and quick, but carry a higher risk of bias if your sample doesn't truly represent the wider population. This topic is directly relevant to AA (Audit and Assurance) and helps you understand when to apply non-random techniques in real-world audit scenarios, alongside recognising how systematic sampling differs as a structured alternative.
Duration: 7m
Transcript
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