The book investigates the fundamental principles and methodologies of statistical sampling inspection by attributes. It presents a rigorous theoretical framework for understanding how to make inferences about a population based on a sample, focusing specifically on quality control applications where items are classified as conforming or non-conforming. The work details various sampling plans, their operating characteristic curves, and the statistical basis for their design and interpretation, providing a comprehensive resource for statisticians and quality control professionals.

This foundational text is recognized for its comprehensive and rigorous treatment of the statistical theory of sampling inspection by attributes. It serves as a key reference for statisticians and quality control engineers seeking a deep understanding of the mathematical underpinnings of attribute sampling plans. The book's detailed exposition of theoretical concepts and mathematical derivations makes it an authoritative resource for advanced study and practical application in quality assurance.