Table of Contents


1. Introduction
2. Estimation
3. Hypothesis testing
4. Graphical exploration of data
5. Correlation and regression
6. Multiple and complex regression
7. Design and power analysis
8. Comparing groups or treatments – analysis of variance
9. Multifactor analysis of variance
10. Randomized blocks and simple repeated measures: unreplicated two factor designs
11. Split-plot and repeated measures designs: partly nested analyses of variance
12. Analyses of covariance
13. Generalized linear models and logistic regression
14. Analyzing frequencies
15. Introduction to multivariate analyses
16. Multivariate analysis of variance and discriminant analysis
17. Principal components and correspondence analysis
18. Multidimensional scaling and cluster analysis
19. Presentation of results