What is statistics? Data description. Probability and probability distributions. Inferences about M. Inferences about u1 - u2. Categorical data. Inferences about population variances. Linear regression and correlation. Inferences related to linear regression and correlation. Introduction to the analysis of variance. Multiple comparisons. Multiple regression and the general linear model. More on multiple regression. Analysis of variance for some standard experimental designs. Analysis of variance for some unbalanced designs. Analysis of variance for some fixed-, random- and mixed-effect models. Experiments with repeated measures. The analysis of covariance. Data management. Appendix. References. Index.
