This text investigates the application of statistical sampling techniques to the fields of auditing and accounting to improve the efficiency and reliability of financial examinations. Herbert Arkin, a recognized authority in statistical methodology, provides a structured framework for auditors to determine sample sizes, evaluate risk, and draw valid inferences from financial data. The book bridges the gap between complex statistical theory and the practical requirements of professional accounting practice.

Experts recognize this work as a foundational text for understanding the mathematical basis of audit sampling. Readers frequently note the technical density of the prose, which requires a basic understanding of statistical principles to fully implement the provided methodologies.