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Key CPA Exam Takeaways

High-Yield Review

  • Audit sampling tests less than 100% of a population.
  • Statistical sampling measures sampling risk mathematically.
  • Nonstatistical sampling relies on professional judgment.
  • Sampling risk decreases as sample size increases.
  • Attribute sampling evaluates controls.
  • Variables sampling evaluates monetary balances.
  • Strong internal controls may reduce required sample sizes.
  • Data analytics analyzes large datasets to identify unusual transactions and risks.
  • Data analytics supplements but does not replace professional judgment.

Better data leads to better audit decisions—but only when combined with professional judgment.

Summary
Audit sampling and data analytics are essential tools that help auditors efficiently obtain sufficient appropriate evidence and are frequently tested on the CPA AUD exam.