Master the essential mathematics for advanced social statistics with “Mathematical Primer for Social Statistics, Second Edition” from The Bookish Owl. This vital resource bridges the gap to understanding statistical methods beyond the basics. Explore the language of matrices, linear algebra, vector geometry, calculus, probability theory, common distributions, and statistical inference. Dive into likelihood-based and Bayesian methods, and apply these concepts to linear least-squares regression. Enhanced with new topics like Markov-Chain Monte Carlo methods and improved visualization, this book is perfect for “math camps” or foundational courses. A companion website with R materials makes learning interactive and practical for social scientists engaging and practical.