The need for sampling - part 2

In this lesson

1. 0:00 Sampling risk and audit testing
2. 0:31 How sampling risk affects your conclusions
3. 1:31 Non-sampling risk explained
4. 2:07 Factors that determine sample size
5. 3:01 Tolerable error and materiality
6. 3:57 Evaluating test results and errors
7. 4:23 Distinguishing one-off from recurrent errors
8. 5:15 Sampling in controls testing

About this lesson

You'll discover how auditors determine appropriate sample sizes based on misstatement risk, confidence levels, and tolerable error—and how to evaluate whether errors found during testing are one-off anomalies or recurring issues that require further investigation. This is essential knowledge for the Audit and Assurance paper, where understanding sampling methodology and risk assessment directly impacts your exam performance and real-world audit work. The video breaks down sampling risk as the danger of reaching an incorrect conclusion based on sample results rather than the full population, while non-sampling risk covers errors from other causes. You'll see how sample size inversely affects sampling risk: larger samples give you greater confidence in your conclusions, while smaller samples increase the risk of drawing wrong conclusions. The factors that determine how many items you need to test include the risk of misstatement, your required confidence level, expected error rates, and tolerable error—the level of misstatement you're willing to accept before it becomes material. When you complete your testing and find errors, the critical skill is distinguishing between one-off anomalies and recurrent errors. Anomalies won't affect the broader population, but recurring errors suggest systematic problems that demand more investigation. You'll learn to evaluate both the nature and cause of errors, then decide whether additional testing is needed. For controls testing specifically, any control failure is significant regardless of monetary value—the focus is on whether the control works, not the amount involved. For substantive testing, monetary value becomes the key consideration when assessing whether misstatements are material to the financial statements as a whole.

Duration: 6m