Which statement about sample size is true in an audit?

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Multiple Choice

Which statement about sample size is true in an audit?

Explanation:
In audits using attribute sampling, the number of observations you need is driven by how many deviations you expect to find. If you anticipate a higher rate of deviations, you must sample more to achieve the same level of precision and confidence in your conclusion. That’s why the statement about expecting a higher occurrence rate leading to a larger sample size is the correct one. Increasing the tolerable deviation rate, on the other hand, means you’re willing to accept more deviations, so you can get away with a smaller sample to reach the same confidence. A lower acceptable risk of underassessment typically requires more data, not less, so it would push the sample size up rather than down. And when an attribute is more critical, you would generally set a stricter (lower) tolerable rate and often increase the sample size to maintain greater assurance—so stating a higher tolerable rate in that case is not accurate.

In audits using attribute sampling, the number of observations you need is driven by how many deviations you expect to find. If you anticipate a higher rate of deviations, you must sample more to achieve the same level of precision and confidence in your conclusion. That’s why the statement about expecting a higher occurrence rate leading to a larger sample size is the correct one.

Increasing the tolerable deviation rate, on the other hand, means you’re willing to accept more deviations, so you can get away with a smaller sample to reach the same confidence. A lower acceptable risk of underassessment typically requires more data, not less, so it would push the sample size up rather than down. And when an attribute is more critical, you would generally set a stricter (lower) tolerable rate and often increase the sample size to maintain greater assurance—so stating a higher tolerable rate in that case is not accurate.

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