Confidence Intervals for Proportions and Related Measures of Effect Size

This advanced statistical text offers a comprehensive exploration of confidence intervals for proportions and effect size measures, positioning these methods as superior alternatives to basic significance testing. The book systematically guides readers through the mathematical foundations and practical applications of these more informative statistical approaches, providing a thorough understanding of what actually occurs when these techniques are implemented in research and data analysis. For students and professionals working with proportional data, this represents an essential upgrade from conventional hypothesis testing methodology.

What distinguishes this work is its commitment to bridging theoretical understanding with practical implementation, making complex statistical concepts accessible without sacrificing mathematical rigor. Researchers in fields ranging from epidemiology to social sciences will find particular value in the detailed explanations of how effect size measures and their corresponding intervals provide richer, more meaningful interpretations than simple p-values. The book's systematic approach to statistical methodology ensures readers emerge with both the conceptual framework and practical skills needed to implement these more sophisticated analytical techniques in their own work.