Note: This page is under construction, and will be updated frequently throughout the term.

Christine is ill and her office hours on Thursday Dec. 3d are cancelled.

Extra Office Hours for the final exam are given in the Final Exam Information.

SAS Handout 18 (Covariance structure approach to repeated measures) is posted below.

Slides on the covariance structure approach to repeated measures are also posted below.

Chapter 7 (Factorial ANOVA) and Chapter 8 (Multivariate analysis and repeated measures) are posted below. They are a bit rough (produced with an obsolete Mac word processor in the remote past, and only slightly revised for this edition of the textbook), but still possibly useful. There seem to be some minor font problems. For example, the first page of Chapter 8 has å=0.05 where the original document has α=0.05.

Chapter 7 is long. It has a section on choice of sample size by power and other methods. We did not get to this and you are not responsible for it, but you may find it helpful some day. Also, we somehow missed interactions between quantitative and categorical independent variables, as well as interactions between quantitative and quantitative. That's in Chapter 7 too. Chapter 7 includes a detailed analysis of the Greenhouse data (fungus growing on canola plants). This occupies 35 pages; you can view it as a case study in how to find out what's going on in a data set by testing contrasts. If you want a closer look at this topic you can read the case study. Otherwise, skip it.

Chapter 9 (Introduction to R) is posted below. You are not responsible for this material. The chapter illustrates R in a unix environment, but it's not installed on tuzo. I can't get it installed, and I can never reember all the technical reasons it's "impossible" for more than a day after I hear them. However, the language is almost completely the same on a desktop machine.

Chapter 10 (Permutation tests and the bootstrap) is posted below. You are not responsible for this.

• Final Exam Information
• Course Outline
• Assignments
  1. Assignment 1: Quiz on Friday Sept. 18th.
  2. Assignment 2: Quiz on Friday Sept. 25th.
  3. Assignment 3: Quiz on Friday Oct. 2nd.
  4. Assignment 4: Quiz on Friday Oct. 9th.
  5. Assignment 5: Quiz on Friday Oct. 16th.
  6. Assignment 6: Quiz on Friday Oct. 23d.
  7. Assignment 7 (Revised): Quiz on Friday Oct. 30th.
  8. Assignment 8: Quiz on Friday Nov. 6th.
  9. Assignment 9: Quiz on Friday Nov. 13th.
  10. Assignment 10: Quiz on Friday Nov. 20th.
  11. Assignment 11: Quiz on Friday Nov. 27th.
• Computer handouts Please print these and bring them to class. You may want to write notes on them during lecture.
  • Handout Zero: Basic unix and emacs reference, copied from the textbook. If you are new to unix/linux, it's good to have hard copy of this. Otherwise, don't bother to print it.
  • SAS Handout 1: Read and check the math data.
  • SAS Handout 2: Descriptive statistics.
  • SAS Handout 3: Screening with elementary significance tests.
  • SAS Handout 4: Contrasts and multiple comparisons in a one-way design
  • SAS Handout 5: Multiple Regression Part One
  • SAS Handout 6: Automatic (stepwise) variable selection
  • SAS Handout 7: Replication (Cross-validation) of a regression
  • SAS Handout 8: Logistic regression with dummy variables
  • SAS Handout 9: Develop a Logistic regression model with various tests, compare to stepwise.)
  • SAS Handout 10: Cross-validation of a Logistic regression model
  • SAS Handout 11: Logistic regression for a dependent variable with more than two categories
  • SAS Handout 12: Back to normal regression: Cell means coding and effect coding
  • SAS Handout 13: Factorial ANOVA on the Potato data
  • SAS Handout 14: Multivariate analysis on the Math data
  • SAS Handout 15: Multivariate approach to repeated measures: Part One
  • SAS Handout 16: Multivariate approach to repeated measures: Part Two
  • SAS Handout 17: Multivariate approach to repeated measures: Part Three
  • SAS Handout 18: Covariance Structure approach to repeated measures
• Textbook
  • Chapters 1 and 2
  • Chapter 3: New version posted Oct. 6th. Two pages have been added at the end -- that's all.
  • Chapter 4
  • Chapter 5
  • Revised Section 5.3.2 (Includes cell means and effect coding)
  • Chapter 6
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10
• Slide Shows
  • Introduction (Ch. 1)
    • Part 1
    • Part 2
  • Oneway ANOVA (Ch. 3)
    • Part 1
    • Part 2 (Multiple Comparisons)
  • Multiple Regression
    • Part 1
    • Part 2
  • Logistic Regression
    • Part 1: Binary dependent variable
    • Part 2: Dependent variable with more than two categories (Revised Nov. 3d)
  • Factorial ANOVA
  • Multivariate Analysis
  • Within Cases
    • Part 1
    • Part 2
• About computing in this course.
• SAS Documentation
  • SAS/STAT
  • The Whole Manual
• Programs and data sets from lectures and the text. If you are copying and pasting SAS code, it is better to do it from here rather than from the online handouts and textbook. The text and handouts are in PDF format, and PDF documents contain invisible characters that can cause trouble.