Through this book and its computer programs, readers will better understand the methods of sequential analysis and be able to use them in real-world settings. The book explains concepts, methodologies, implementations, and properties in layman's terms. It also provides essential computing tools so readers can run simulations and perform experiments with real or simulated data. The authors cover basic sampling techniques and inference procedures, address competing sampling methodologies in several statistical problems, and emphasize the relevance and importance of sequential methodologies in clinical trials, integrated pest management, experimental psychology, horticulture, and more.