Statistical Thinking from Scratch: Primer for Scientists offers a deep introduction to simple linear regression as a foundational tool in applied statistics. This book, authored by EDGE and published by Oxford University Press, is ideal for researchers navigating the vast landscape of data in natural and social sciences. By focusing on resampling-based, likelihood-based, and Bayesian approaches within the context of simple linear regression, the text provides a rigorous yet accessible exploration of statistical inference.

Targeting senior undergraduate and beginning graduate students, as well as professional researchers and practitioners, this book serves as both an educational tool and a practical guide. Its unique approach balances mathematical rigor with clarity, making it suitable for those new to statistics while also challenging more experienced statisticians. With 320 pages dedicated to detailed case studies and theoretical insights, Statistical Thinking from Scratch is essential reading for anyone seeking to enhance their understanding of statistical methods across various disciplines.

Key features include:

• Focus on simple linear regression as a cornerstone for advanced statistical analysis
• In-depth exploration of resampling-based, likelihood-based, and Bayesian approaches
• Covers key philosophical positions in statistics through practical examples
• Maintains an approachable mathematical level for both beginners and seasoned professionals