Notes
- lecture 2 (ch1: Descriptive Statistics)
- lecture 3 (ch1: Estimation, design, inference, hypothesis testing)
- lecture 6 (updated) (ch4: Alternatives
to t-tools)
- lecture 9 (ch6: Linear combinations and
multiple comparison of means)
- lecture 10 (ch7: Simple linear
regression)
- lecture 11 (ch8: Check assumptions for simple linear
regression
- lecture 13 (ch10:
Inferential tools for multiple regression)
- lecture 14 (ch11-12: Model checking for
multiple regression and variable selection)
- lecture 17
(updated) (ch18-19: proportions, odds, tables of counts)
- lecture 18 (ch20: logistic regression for binary
responses)
- lecture 19 (ch21: logistic regression for
binomial responses)
- lecture 20 (ch22: log linear regression for
Poisson count data)