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

Information about the final exam: Click HERE

Extra office hours for the final exam:

• Tuesday April 12th 1-2:30
• Thursday April 14th 11-1
• Tuesday April 19th 11-1
• Thursday April 21st 10:30-12

In the final SAS assignment, the Scab Disease data set has been replaced with the Tooth Growth data.

Formula sheet now includes covariance structures. You will get a copy with the final exam.

One more handout is posted below under Lectures. It's a collection of all the SAS programs from lecture, in the order they were presented. I find that the best way to write SAS programs is to look at old examples, and it's very convenient to have them in one place so you can just do a search for something you need. For example, you want to use proc standard to center your explanatory variables and you know there's an example from lecture, but where? Just search for proc standard.

Point values and number of pages are now included in the final exam information.

• Course Outline
• Computing Resources: Information and Links, especially to download SAS.
• Formula Sheet        PDF      View LaTeX      Download LaTeX
• Assignments
  1. Assignment 1: Quiz on Thursday January 14th.
  2. Assignment 2: Quiz on Thursday January 21st.
  3. Assignment 3: Quiz on Thursday January 28th.
  4. Assignment 4: Quiz on Thursday February 4th.
  5. Assignment 5: Quiz on Thursday February 11th.
  6. Assignment 6: Quiz on Thursday February 25th.
  7. Assignment 7: Quiz on Thursday March 3d.
  8. Assignment 8: Quiz on Thursday March 10th.
  9. Assignment 9: Quiz on Thursday March 17th.
  10. Assignment 10: Combined Quiz on Thursday March 31st. The March 24th quiz was cancelled because of weather.
  11. Assignment 11: Combined Quiz on Thursday March 31st.
  12. Final Assignment: For the SAS part of the final exam.
• Lecture Overheads Some of these present concepts, and some show SAS input and output. You might want to print the SAS programs and bring them to class so you can write notes on them during lecture.
  1. Introduction to data analysis
     • PDF      PowerPoint
  2. Introduction to SAS
     • PDF      View LaTeX      Download LaTeX     
  3. SAS Example One: Read and describe the cars data
  4. One-way ANOVA with multiple comparisons: Concepts
     • PDF      PowerPoint
  5. SAS Example Two: One-way ANOVA with multiple comparisons on the scab disease data.
  6. SAS Example Three: The Berkeley graduate admissions data.
  7. Multiple Regression Concepts Part 1
     • PDF      PowerPoint
  8. SAS Example Four: Read and describe the math data.
  9. SAS Example Five: Regression analysis of the the math data, Part One.
  10. Multiple Regression Concepts Part 2
      • PDF      PowerPoint
  11. SAS Example Six: Residual analysis for the exploratory math data.
  12. SAS Example Seven: Prediction for the math replication data set.
  13. SAS Example Eight: Interactions between categorical and quantitative variables
      • PDF      Open Office Format
  14. Logistic Regression Concepts Part 1
      • PDF      PowerPoint
  15. SAS Example Nine: Logistic regression on the math data.
      • Original version
      • Improved version
  16. Logistic Regression Concepts Part 2: The multinomial logit model (Logistic regression with more than two outcomes)
      • PDF      PowerPoint
  17. SAS Example Ten: Multinomial Logistic Regression (more than two categories) on the math data.
      • Original version
      • Improved version
  18. Factorial ANOVA Concepts: More than one categorical explanatory variable
      • PDF      PowerPoint
  19. SAS Example Eleven: Factorial analysis of variance on the potato and math data.
  20. Choosing sample size: The sample variation method
      • PDF      PowerPoint
  21. Nested, random effects and mixed models: Concepts
      • PDF      View LaTeX      Download LaTeX     
  22. SAS Example Twelve: Nested, random effects and mixed models with SAS.
  23. Classical within-cases ANOVA using mixed models: Concepts
      • PDF      View LaTeX      Download LaTeX     
  24. SAS Example Set Thirteen: Classical within-cases ANOVA using mixed models.
  25. The covariance structure approach to within-cases: Concepts
      • PDF      PowerPoint
  26. SAS Example Set Fourteen: Covariance structure approach to within-cases ANOVA using SAS proc mixed.
  27. SAS Example Fifteen: 180 repeated measurements on 10 subjects (Nasalance).
  28. SAS Example Sixteen: Lynching and the price of cotton time series.
  29. SAS Example Seventeen: Nasty black stuff growing in test tubes. The end.
  30. SAS Example Collection: All the SAS programs from lecture, in chronological order.
• Textbook
  • Chapter 1: Vocabulary and basic concepts used throughout the course, and also a brief discussion of elementary significance tests.
  • Chapter 2: Introduction to SAS.
  • Chapter 3: Comparing several means.
  • Chapter 4: More than one explanatory variable at once: The Berkeley graduate admissions data
  • Chapter 5: Multiple regression
  • Chapter 6: Logistic regression
  • Chapter 7: Factorial analysis of variance
  • Chapter 8: Selecting sample size
  • Chapter 9: Multivariate and within-cases
  • 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. Feel free to take a look at any time to see how it's going.

All course materials prepared by Jerry are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Source code is available. See the link above for more information.