What is the primary purpose of statistical sampling in fraud audits?

• A. To efficiently test a population and identify potential misstatements without auditing every entry.
• B. To audit every entry.
• C. To shorten the audit with guesswork.
• D. To replace substantive testing.

Answer: (A)

Statistical sampling in fraud audits focuses on testing a representative subset of transactions to draw conclusions about the entire population. This lets auditors detect potential misstatements and estimate their overall magnitude without examining every entry, which saves time and resources while still providing evidence with a known level of confidence. The method uses probabilistic principles to quantify sampling risk—the chance that the sample could mislead about the true population—so efforts can be directed to high-risk areas and the audit remains rigorous yet efficient. It complements substantive testing rather than replacing it, and it avoids guesswork by applying systematic, evidence-based procedures. Examining every entry would be impractical, and relying on guesswork would undermine reliability, so the goal is to test efficiently and identify areas that warrant deeper investigation.