The role of statistics and the data analysis process. -- Collecting data sensibly. -- Graphical methods for describing data. -- Numerical methods for describing data. -- Summarizing bivariate data. -- Probability. -- Random variables and probability distributions. -- Sampling variability and sampling distributions. -- Estimation using a single sample. -- Hypothesis testing using a single sample. -- Comparing two populations or treatments. -- The analysis of categorical data and goodness-of-fit tests. -- Simple linear regression and correlation: Inferential methods. -- Multiple regression analysis. -- Analysis of variance. -- Nonparametric (Distribution-free) statistical methods.

1. Mathematical statistics
2. Statistics -- Textbooks