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Week # |
Day & Time |
Topic |
Supporting Material |
12 |
Monday, March 18, 10:
-12:00,
KC:B |
Lecture 1, introduction. · Comparing Two Entities Reference Distributions, Tests, the Blocking principle, and Confidence intervals |
|
Tuesday March 19, 15:15-17:00 or Friday March 22, 10:15-12:00 MH:229 (both times) |
Before the session you should do
the following.
·
Download R from
r-project.org
Download the RStudio IDE from rstudio.com · If you have no or very little experience with R, go through "A sample session" in http://cran.r-project.org/doc/manuals/R-intro.pdf · The main aim is getting used to the simple statistical machinery of R: paired and un-paired T-tests, Wilcoxons rank sum test, normal probability plots |
||
| 15 | Tuesday, April 9, 8.15-10:00 KC:D |
Comparing a number of Entities, Randomized Blocks, and Latin Squares Notes |
BHH2, chapter 4 |
| Tuesday, April 9, 15.15-17:00 Friday April 12, 10:15-12:00 MH:229 (both times) |
Simple ANOVA with R. |
Instructions (PDF) Solutions Solution to the hand-in Data sets |
|
| 16 | Monday, April 15, 10.15-12:00 KC:D |
What a mathematical perspective can give: Model validation, Sample size calculation Notes |
BHH2, chapter 4 |
| Tuesday, April 16, 15.15-17:00 Friday April 19, 10:15-12:00 MH:229 (both times) |
Model validation and sample size |
Instructions (PDF)
Solutions Data sets |
|
| 17 | Monday, April 22, 10.15-12:00 KC:D |
Multiplicity issues, Sample size, Factorial design at two levels Notes |
Multiplicity issues and sample size are not covered in the book. Factorial design at two levels is in BHH2, chapter 5 |
| Tuesday, April 23, 15.15-17:00 Friday April 26, 10:15-12:00 MH:229 (both times) |
Instructions (PDF)
Solutions Data sets |
||
| 18,19 | Monday, April 29, 10.15-12:00 KC:D |
Factorial design at two levels, continued. Notes | Topics from chapter 5 and an little from chapter 6. |
|
Friday May 3, 10:15-12:00 Tuesday, May 7, 15.15-17:00 MH:229 (both times) |
Instructions Solutions Data sets: Functions: |
||
| 20 | Monday, May 13, 10.15-12:00 KC:D |
Adding a center point, Factors at more than one level, Data Transformation, and Variance Component Models Notes | Chosen topics from Chapter 5, 8, 9, and 10 |
| Tuesday, May 14, 15.15-17:00 Friday May 17, 10:15-12:00 MH:229 (both times) |
Instructions Solutions Data sets: Functions: |
||
| 21 | Monday, May 20, 10.15-12:00 KC:D |
Recap of the course. (See under "Latest News" for information about the examination.) | |
| Tuesday, May 21, 15.15-17:00 Friday May 24, 10:15-12:00 MH:229 (both times) |
No new exercises, but you can get help with any of the old ones. No help with the home exam will be given. |