Beyond Anova

Focusing on practical applications, this book equips students with essential statistical techniques applicable to real-world data. Covering methods from ANOVA to empirical Bayes and bootstrap techniques, it emphasizes straightforward data analysis over complex tests. Revised by Stanford professors, it remains accessible for undergraduates and graduates, as well as professionals in fields like biology, social sciences, and engineering. With a foundational understanding of statistics, readers will find valuable insights for managing their data analysis effectively.