Monty the Null Hippopotamus: Exploring Statistical Foundations Through Simulation by Robert B. Gramacy

This book is a premium first copy, similar to the original but not the original.

Monty the Null Hippopotamus: Exploring Statistical Foundations Through Simulation offers a revolutionary approach to introductory statistics for students who grew up in the computing age. Breaking away from the traditional formula-memorization approach that makes Stat 101 a dreaded requirement, the book emphasizes computational thinking and conceptual understanding through hands-on coding examples. The aim is to make statistics accessible and engaging by leveraging modern computing power rather than the tedium of punching numbers into calculators or flipping through pages of tables. The book covers foundational statistical concepts through advanced topics including nonparametric methods and regression analysis, all presented through a computational lens that prioritizes process over precision. Everything is illustrated with coded examples, ensuring readers develop genuine intuition for how statistical methods actually work in practice. You must have some experience coding. The book is written to help you learn R. Supplementary Python is also provided. You need not be an expert in either, but some familiarity will help. If you’ve never coded in a language like one of those (e.g., MATLAB, C, C++, Julia, Rust), then you’ll have a hard time with the material here. I hope that this book is also a good fit for master’s-level students who came from another, non-statistical undergraduate program. This book is designed for undergraduate students comfortable with probability, calculus, and basic programming. It serves as an ideal text for introductory statistics courses, and is equally valuable for graduate students from non-statistical backgrounds seeking a modern foundation in statistical thinking. The text is perfect for students ready to engage deeply with statistical concepts through hands-on exploration.