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

Pop Quiz 10: Several people have said they turned it in but did not get it back. I cannot find the quizzes in question, but it could be I lost them. So, if you look on Blackboard you will see that everyone with a missing mark on Pop Quiz 10 now has a 9. Also, if you had a 5/10 (meaning you took the quiz but the answer was wrong), you now have 7/10.

Information about the final exam, including the final assignment, is posted below (right under the course outline). The information page now includes a link to this term's quizzes, with solutions

SAS Certification: One of my former students (Sumei Gu, now working as a biostatistician) suggests that if you want to find work as a statistician but have just an undergraduate degree, you might want to seek the SAS Certified Base Programmer for SAS 9 Credential. Details are given on the SAS Institute website. To me, it looks like you already know more than half of this stuff, but to pass the exam you would likely have to take a couple of courses from the SAS Institute and give them all your money. The SAS Institute has an office in Toronto.

• Revised Course Outline
• About the Final Exam: Includes the final exam SAS assignment.
• Information about the final project (Students in STA1008 only)
• Computing Resources: Information and Links.
• Assignments
  1. Assignment 1: Quiz on Friday Jan. 13th
  2. Assignment 2: Quiz on Friday Jan. 20th
  3. Assignment 3: Quiz on Friday Jan. 27th
  4. Assignment 4: Quiz on Friday Feb 3d
  5. Assignment 5: Quiz Re-sheduled to Friday Feb 17th
  6. Assignment 6: Quiz on Friday March 2nd
  7. Assignment 7: Quiz on Friday March 9th
  8. Assignment 8: Quiz on Friday March 16th
  9. Assignment 9: Quiz on Friday March 23d
  10. Assignment 10: Quiz on Friday March 30th
• Lecture Overheads You might want to print these and bring them to class so you can write notes on them during lecture.
  • Introduction: Vocabulary of data analysis, Basics of research design, Elementary statistical tests
  • Basic unix and emacs reference, copied from the web (see Computing Resources above). If you are new to unix/linux, it's good to have hard copy of this. Otherwise, don't bother to print it.
  • Quick introduction to SAS
  • Math0: First look at the math data with SAS
  • CheckMath: Checking the math data with SAS
  • DescribeMath: Basic descriptive statistics the math data
  • BasicMath: Elementary tests on the math data
  • One-factor ANOVA: Concepts including contrasts and multiple comparisons.
  • Kenton 1: One-way analysis of the Kenton (Textbook) data, including multiple comparisons.
  • Hungry Mice 1: Planned comparisons (contrasts) on a study of hungry mice that live a long time. Also illustrates rank-based alternatives to one-way ANOVA and the 2-sample t-test. Data are read directly from an Excel spreadsheet.
  • Regression 1: More than one independent variable at a time; ANOVA, F-tests and explained variation; representing categorical independent variables with dummy variables
  • Regression on the Math Data with SAS, Part One: Indicator dummy variables, Custom tests with proc reg, Proportion of remaining variation, Variable selection.
  • Regression 2: Residuals, Cell means coding and Effect coding, Interactions (quantitative by quantitative, quantitative by categorical) Updated Feb. 21st.
  • Regression on the Math Data with SAS, Part Two: Analysis of residuals
  • Regression on the Math Data with SAS, Part Three: Attempt to replicate findings from the exploratory analysis, Prediction of grades for the replication sample. Illustrates the use of multiple SAS datasets in the same job.
  • Regressions with possibly unequal slopes: The Training data. Interactions between categorical and quantitative variables, proc glm tests differences between intercepts.
  • Factorial ANOVA concepts: Main effects, Interations between categorical independent variables, Contrasts, Effect coding, Interactions as products, Balanced vs. unbalanced designs.
  • Factorial ANOVA with SAS: Contrasts, Effect coding, Balanced and unbalanced designs.
  • Multivariate concepts: Multiple quantitative dependent variables
  • Multivariate with SAS: Illustrate multivariate regression and ANOVA on the math data.
  • Within Cases Concepts Part 1: Concept overview, classical univariate approach and multivariate approach, including Hotelling's T²
    • Slides
    • Outline (Same information, 9 pages instead of 25)
  • Multivariate approach to repeated meaures with SAS Part 1: Testing intercepts in multivariate regression.
  • Multivariate approach to repeated meaures with SAS Part 2: Two-factor within-cases on the pain data.
  • Multivariate approach to repeated meaures with SAS Part 3: Between and within-cases (the Monkey data)
  • Within Cases Concepts Part 2: The covariance structure approach.
  • The covariance structure approach with SAS: Grapefruit, pain, monkeys and eating.
  • Repeated Measures ANCOVA (Mutivariate Approach)
    • repeatcov.sas
    • repeatcov.lst
• Textbook
  • Chapters 1 and 2: Chapter 1 presents the vocabulary and basic concepts used throughout the course. Chapter 2 is about unix/linux and SAS.
  • Chapter 3: One-way ANOVA with contrasts and multiple comparisons.
  • Chapter 4 (Optional): Testing relationships between categorical variables controlling for other categorical variables.
  • Chapter 5: Multiple Regression including representing categorical independent variables with dummy variables.
  • Chapter 6 is about logistic regression. We are skipping it this time. It's available as part of the full textbook below.
  • Chapter 7 is about factorial ANOVA. The last example has a lot of extra detail about Scheffé tests. The example is useful, but the discussion of Scheffé tests is more than you need to know. It refers to some material that has been added to the regression chapter (Chapter 5) in the full version of the text. You are only responsible for the posted version of Chapter 5.
  • Chapter 8 covers multivariate regression and analysis of variance, and within-cases (repeated measures) factorial designs. The format is a bit crude, and I do not know if I will get around to making a nice typeset version this term.
  • Home page for the textbook. This has the current version of the full book. You are responsible for the individual chapters posted above. The current version of the full book (both before and after where we are in the class) will change without notice. If you are interested, the best time to obtain (and possibly even print) a copy of the full text will be when the term is over. But feel free to take a look at any time to see how it's going.
• SAS manuals: You probably want SAS/STAT