1 Introduction; 2 Comparing Groups: Analysis of Variance; 3 Comparing Groups: Student's t test; 4 Linear Regression; 5 Comparisons using Estimates and Intervals; 6 Interactions; 7 Analysis of Covariance: ANCOVA; 8 Maximum Likelihood and Generalized Linear Models; 9 Generalized Linear Models for Data with Non-Normal Distributions; 10 Mixed Effects Models; 11 Generalized Linear Mixed-effects Models; 12 Final Thoughts; Appendix 1: A very short introduction to the R programming language for statistics and graphics