This fourth edition provides tools for the rigorous and critical analysis of experimental data. Assuming only basic mathematical skills, the book provides a complete and exhaustive introduction to the statistical methods available and updates all material to cover current practices. The author also provides three entirely new and up-to-the-minute chapters: one provides the first practical guide to performing meta analysis that allows for the power inherent in multiple similar studies; two others cover Bayesian analysis and data analysis in pharmacology, discussing analysis of receptor binding assays, safety pharmacology assays, and other standard study types conducted in pharmacology.