Resources
Here are some notes on the 652 midtermReview notes
651 Homework
652 Homework
- Homework 5
- Homework 6 plus the task1.csv file
- Homework 7
- Homework 8
- Some solutions for HW 8
Lecture Notes
- Lecture 1
- Lecture 2
- Lecture 3
- Lecture 4
- Lecture 5
- Lecture 6
- Lecture 7
- Lecture 8
- Lecture 9
- Lecture 10
- Lecture 11
- Lecture 12
- Lecture 13
- Lecture 14
- Lecture 15
- Lecture 16
- Lecture 17
- Lecture 18
- Lecture 19
- Lecture 20
- Multinomial notes
- Lecture 21
- Lecture 22
- Lecture 23
- Lecture 24
- Lecture 25 pluse see this
- Lecture 26
- Lecture 27
- Lecture 28
- Lecture 29
- Lecture 30
R notes
- Editor (suggested) Winedt (get the R Winedt add-ons at CRAN)
- Verzani's notes on introductory statistics in R
- Maindonald's note on introductory statistics in R
- Faraway's notes on regression and ANOVA in R
- Paradis' R for beginners
- Burns' guide for the unwilling R user
- Baron's R reference card
- Short's R reference card
- Karl's R web page
- R plotting for beginners
Books, papers and articles
- Mathematical Statistics and Data Analysis by John A. Rice; Duxbury Press.
- Fundamentals of Biostatistics by Rosner; Duxbury Press
- Modern Applied Statistics with S by Venables and Ripley; Springer.
- Flawed Statistics in Murder Trial May Cost Expert His Medical License
- The Wainer article on displaying data badly (requires access to Jstor).
- Gosset's article about the t distribution
R code from the class
Here's some R code for some of the figures we've used in class. Ignore the "postscript" commands that are commented out. That's for generating a postscript file.Famous statisticians/mathematicians that we'll talk about
| Abraham de Moivre | Jakob Bernoulli | Thomas Bayes |
|---|---|---|
| Karl Friedrich Gauss | Francis Galton | Ronald Fisher |
| William Sealey Gosset | Karl Pearson | John Tukey |
| Andrey Kolmogorov | Pafnuty Chebyshev | Abraham Wald |