Grokking Statistics

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. "An excellent, playful introduction to foundational statistical ideas and calculations." —Matthew Housley, Co-author of Fundamentals of Data Engineering Grokking Statistics makes the core ideas of statistics intuitive, practical, and surprisingly entertaining. Using relatable examples, illustrations, and clear explanations, Thomas Nield shows you how to reason about uncertainty, draw useful conclusions from data, and recognize when the numbers themselves may be misleading. You’ll learn to move beyond deterministic thinking and develop the skeptical, questioning mindset that good statistical analysis requires. Starting with the relationship between samples and populations, you’ll build a practical understanding of probability distributions, the normal distribution, the central limit theorem, confidence intervals, hypothesis testing, and linear and logistic regression. Along the way, you’ll apply these ideas to examples ranging from manufacturing tolerances and business decisions to tornado data and toddler meltdowns. Python handles the calculations so you can concentrate on what the results mean and when you should trust them. Just as importantly, Grokking Statistics teaches you to question data itself. You’ll learn to look for biased samples, questionable assumptions, misleading metrics, overfitting, p-hacking, and other ways statistical reasoning can go wrong. These are essential practical skills. They matter whether you’re evaluating a research finding, analyzing business data, building a software product, or assessing the performance of a machine learning model. Clear Python examples explain the concepts throughout the book. Thomas’s practical, sometimes whimsical approach keeps the focus on understanding rather than memorizing formulas. Reviewer Mark J.