In audit sampling, which statement about sample sizes is correct?

In audit sampling, which statement about sample sizes is correct?

• A. Larger sample sizes are used for higher risk, higher materiality, larger populations, and lower expected deviation rates
• B. Smaller samples are used when risk is high and populations are diverse
• C. Larger samples are used when risk is low and populations are homogeneous
• D. Sample size is fixed regardless of risk or population size

Answer: (C)

In audit sampling, the size of the sample is chosen to achieve the right level of assurance given how much variability you expect in the population and how much misstatement you’re willing to tolerate. When risk is low and the population is homogeneous, there’s less variation between items, but auditors may still opt for a larger sample to tighten the precision of the conclusion and reduce the chance that a misstatement could slip through by random fluctuation. A larger sample in that context helps ensure the result reflects the whole population with greater confidence. In practice, you would adjust sample size upward when you need stronger evidence or when you want to confirm a conclusion across a relatively uniform population, whereas high risk or a diverse population typically drives larger samples as well to detect potential misstatements reliably. The key idea is that sample size is not fixed and should align with the level of assurance sought and the expected variability.

In audit sampling, the size of the sample is chosen to achieve the right level of assurance given how much variability you expect in the population and how much misstatement you’re willing to tolerate. When risk is low and the population is homogeneous, there’s less variation between items, but auditors may still opt for a larger sample to tighten the precision of the conclusion and reduce the chance that a misstatement could slip through by random fluctuation. A larger sample in that context helps ensure the result reflects the whole population with greater confidence.

In practice, you would adjust sample size upward when you need stronger evidence or when you want to confirm a conclusion across a relatively uniform population, whereas high risk or a diverse population typically drives larger samples as well to detect potential misstatements reliably. The key idea is that sample size is not fixed and should align with the level of assurance sought and the expected variability.