Assigned readings are those that I expect you to do. If I say (skim), I don't expect you to work through all the details; I just expect you to get the major concepts.
Optional readings are provided for your interest and benefit. I recommend them if you are not already familiar with that lecture topic. You will not be tested on material found only in an optional reading.
A copy of the text is on 2 hr reserve in the Statistics reading room, 115 Snedecor.
For the benefit of those with the 4'th edition, here are the readings. There are some major changes in the 5'th ed. I strongly encourage you to use the 5th ed.
The citations for the optional material are:
Ramsey and Schaefer: The Statistical Sleuth, Duxbury Press
Snedecor and Cochran: Statistical Methods, Iowa State
Univ. Press
| Topic | Dates | Assigned | Optional |
| Experimental and Obs. studies | Aug 20-24 | Sections 15.1, 15.2, omit pp 648, 655-657. | Ramsey and Scheafer, Chapter 1 text pp 458-464 (bootstrapping a regression) text pp 712-715 (randomization tests, using F as test statistic) |
| 2 sample tests | Aug 27-Aug 31 | Sections A.6 and A.7 (p 1306-1311) | Snedecor and Cochran, Chapter
6 Ramsey and Schaefer, Chapter 2 |
| Assumptions and Diagnostics | Sep 5 - 7 | Chapter 18, except: 18.4, 18.7 and most of p 776 | Ramsey and
Schaefer, Chapter 3,4 Satterthwaite: p 1043, with c1=1/n1, c2=1/n2 |
| ANOVA: intro | Sep 10 - 14 | Chapter 16, except 16.2, 16.8, 16.10, 16.11 Notes: we'll talk about the matrix equations (e.g p 683), after studying the concepts |
ANOVA covered in almost all stats books. Choose your favorite. |
| ANOVA: contrasts and unplanned comparisons | Sep 17-19 | Chapter 17 | covered in almost all; choose your favorite |
| ANOVA: assumptions | Sep 21 |
Chapter 18, omit Hartley test. Notes: Book's Brown-Forsyth is my Levene test, and I disagree with the book on mcp for Kruskal-Wallis (p 797-8). | |
| RCBD: | Sep 24-28 | Chapter 21, omit Tukey test (pp 903-4), 21.7, 21.8, Sections 28.3-28.6 | |
| Simple Linear Regression | Oct 1 - 5 | Chapters 1-2 | |
| Regression Diagnostics | Oct 5 | Chapter 3 | |
| Correlation | Oct 8 | Section 2.11, skim pp 79-83 | pp 79-83 |
| Matrix manipulations | Review | Sections 5.1-5.8 (skim, unless haven't seen matrices before | |
| Multiple Regression | Oct 10-17 | Sections 5.9-5.12, Chapter 6, 7, omit 7.5, 7.6 | |
| Collinearity Case Diagnostics | Oct 19 | Chapter 10||
| Assumptions and remedies | Oct 22-26 | Section 6.8, 7.6, 11.1, pp 449-453, sections 12.1-12.4 | Section 11.2 |
| Constructing models | Oct 29 | Chapter 8 | |
| ANOVA and regression | Oct 31 | Sections 16.2, 16.3, 16.8 (omit wt. means) | |
| Model selection | Nov 2, 5 | Chapter 9 | |
| Multi factor studies | Nov 7,9,12 | Chapter 19; skim 19.11 Sections 24.1-24.5 | |
| 2^k designs | Nov 14 | Sections 29.1,29.2 | 29.3-29.6 if interested |
| Random effects | Nov 16, 26 | Sections 25.1 (omit pp 1045-1046), 25.5, 26.1, 26.2, 26.7 | |
| Split plot designs | Nov 28 | Sections 27.3, 27.5, 27.6 | |
| Repeated Expts | Nov 28 | Sections 27.4 | |
| Unequal n | Nov 30, Dec 3 | Sections 23.1 - 23.3 | |
| Categorical Data | Dec 3-7 | Ramsey
and Schaefer, Chapters 18,19 Snedecor and Cochran, Chapter 7, 11 |