The main text we’ll be using is:

Intuitive Biostatistics: a Nonmathematical Guide to Statistical Thinking, 2nd Revised Edition.

We’ll use the 2^{nd} edition, which is ~$25 on Amazon (vs. the 3^{rd}, which is $60!). This is the only required text for the course. All readings will be available as pdfs.

The R Book 2nd Edition. (Crawley). (Don’t buy/print the pdf of the 1^{st} edition – its layout is supposed to be horrible!) This is probably the most comprehensive R book out there (also probably the biggest). Crawley is an ecologist and uses many biological examples. I wish I had bought this when I first started learning R.

Common Errors in Statistics (and How to Avoid Them) 4th Ed. (Good and Hardin).

Data Analysis Using Regression and Multilevel/Hierarchical Models (Gelman and Hill) Excellent intro chapters on regression, logistic regression, and mixed effects models.

The Analysis of Biological Data (Whitlock and Shulter). This is a very accessible undergraduate text that does a great job explaining the math of intro-level stats while also introducing best practices in data analysis and many advanced topics. If I’m ever on someone’s graduate committee, I’ll probably make them read this book. Used copies on Amazon are <$15.

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