Note: This page is under construction, and will be updated frequently throughout the term.
Assignment 12 (for the final exam) is posted below. The R part will not be directly on the final exam, but still it's good preparation.
Updated information About the Final Exam, including office hours and quiz solutions. Quiz 11 is now posted.
- Course Outline
- Formula Sheet
- Current Formula Sheet: PDF View LaTeX Download LaTeX
- Final formula sheet from 2013: PDF View LaTeX Download LaTeX
- Computing Resources: Information and Links.
- Assignments
- Assignment One (Mostly review): Quiz on Friday Sept. 19th. Bring a calculator.
- Assignment Two: Quiz on Friday Sept. 26th.
- Assignment Three: Quiz on Friday Oct. 3d.
- Assignment Four: Quiz on Friday Oct. 10th.
- Assignment Five: Quiz on Friday Oct. 17th.
- Assignment Six: Quiz on Friday Oct. 24th.
- Assignment Seven: Quiz on Friday Oct. 31st.
- Assignment Eight: Quiz on Friday Nov. 7th
- Assignment Nine: Quiz on Friday Nov. 14th
- Assignment Ten: Quiz on Friday Nov. 21st
- Assignment Eleven: Quiz on Friday Nov. 28th
- Assignment Twelve: For the final exam
- Lecture Overheads
- Introduction to R
- Statistical Introduction
- Chimney vent damper example
- Large Sample Tools
- Random Vectors
- Multivariate Normal
- Some Large Sample Tests
- Likelihood Part One
- Likelihood Part Two: Wald tests
- Wald tests with R
- Regression Part One
- Regression with R, Part One
- Omitted variables in regression
- Regression Part Two
- Residual diagnostics
- How conservative are Bonferroni-corrected tests for outliers?
- Little Tubes data with R
- Permutation and Randomization tests
- Randomization tests with R
- Logistic Regression
- Logistic Regression with R
- Poisson Regression
- Poisson Regression with R
- Factorial ANOVA
- Factorial ANOVA with R
- Power and sample size for linear regression
- Matrix approach to power
- Sample variation method
- Power estimation
- The humble t-test
- Hotelling's t-squared with R
- Multivariate linear model for between-within designs
- Multivariate testing for between-within designs
- Multivariate testing with R
- Random effects and mixed models
- Textbooks: These are available in PDF format free of charge. The texts are mostly for background reading in case you need some review, or you want to go beyond what is covered in lecture.
- Linear models with R (2009) by J. Faraway.
- Linear models in statistics (2008) by A. C. Renscher and B. G. Schaalje. A strong masters level regression text.
- Statistical models (2003) by A. C. Davison. This is the place to look if you want the real truth about almost any applied statistical topic.
- Introduction to R by Venables, Smith and others. This free 100 page document is very helpful if you plan to do serious work with R.
- Data sets and R code from lectures, and data sets from homework.
All course materials prepared by Jerry are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Source code is available above.