STA 429/1007 F 2007
Statistics for the Life and Social Sciences
University of Toronto, Winter
2007
Lecture Tuesday 10:10-11:00 am and Thursday 10:10-12:00 noon, Room 1074, Sidney Smith Hall
I believe this page is complete. I'm not planning to add any more to it.
Handout 16 is posted below.
There's a textbook fragment on power analysis
HERE.
R and SAS code from the last few handouts is posted. See the link at the bottom of this page.
Extension for the final project (STA 1007): Due by 10:30 am Thursday Dec 13th. There will be a box in the Statistics Department office on the 6th floor of Sidney Smith Hall, starting Thursday Dec. 6th. To turn the assignment in, just come to the office during regular (academic) business hours, say M-F 10-4:30, and drop your project in the box. Of course if you wish, you can still give it to me in class on the 6th as originally scheduled.
Several class members are interested in repeated measures. Unfortunately we
did not get to it, but HERE is a chapter
from a previous course. Some of the symbols are garbled, but it it still
should be useful. I have an obsolete Mac system at UTM, and if I re-create the
pdf there it may make all the symbols look right. (The document was prepared
with obsolete word processing software that is a little flaky under the new
Mac OS).
More detail about the SAS
syntax for fancier repeated measures designs is available online
HERE. Look under "SAS/STAT"
and then "The GLM Procedure."
For grad students, there's a link to a page discussing the final project
(right below the assignments).
- Course Outline
- Assignments
- Assignment
1: Quiz on Thursday Sept. 20 at 10:10 a.m.
- Assignment
2: Quiz on Thursday Oct. 4th at 10:10 a.m.
- Assignment
3: Quiz on Thursday Oct. 11th at 10:10 a.m.
- Assignment
4: Quiz on Thursday Oct. 18th at 10:10 a.m.
- Assignment
5: Quiz on Thursday Oct. 25th at 10:10 a.m.
- Assignment
6: Quiz on Thursday Nov 8th at 10:10 a.m.
- Assignment
7: Quiz on Thursday Nov 8th at 10:10 a.m.
- Assignment
8: Quiz on Thursday Nov 15th at 10:10 a.m.
- Assignment
9: Quiz on Thursday Nov 22nd at 10:10 a.m.
- Assignment
10: Quiz on Thursday Nov 29th at 10:10 a.m.
- Assignment
11: Quiz on Thursday Dec. 6th at 10:10 a.m.
For Assignment 11:
- You don't need to produce a margin or error for the randomization p-value. In fact you can't, because it's likely zero.
- If you are having trouble reading the data, try making the data file end with .txt
- Guidelines for the Final Project: For students in STA1007.
- Computer handouts Please print these and bring them to class. You may want to write notes on them during lecture.
- Handout 1:
Reading the Grades data and doing descriptive statistics and a little regression.
- Handout 1.5:
Explained proportion of remaining variation with the Grades data.
- Handout 2:
Reading the Math data and doing some descriptive statistics. This example illustrates proc format and has a rich data step.
- Handout 3: Interactions in multiple regression.
- Handout 4: Trying to predict final grade for the math data.
- Handout 5: Logistic regression on the Clinton impeachment data.
- Handout 6: A little
public relations for time series analysis. You don't need to print
this.
- Handout 7: Time
series analysis of the Hovland-Sears lynching data.
- Handout 8: Time
series analysis of some simulated experimental data.
- Handout 8: Time
series analysis of some simulated experimental data.
- Durbin-Watson Table:
Table of critical values for the Durbin-Watson test..
- Handout 9: Multiple
comparisons and contrasts on the Tubes data.
- Handout 10:
Two-Way ANOVA with contrasts on the Potato data
- Handout 11:
The Potato data with R
- Handout 12:
Randomization tests illustrated on Student's Sleep data
- Handout 13:
Repeated measures randomization tests.
- Handout 14:
Bootstrap with R
- Handout 15:
Computer-intensive tests with SAS proc multtest
- Handout 16:
Classical power analysis with R
- Online Textbook
- Link to the cquest
Website.
- About computing in this course.
- Online SAS Documentation.
- Programs and data sets from lectures and the online text. If you are copying and pasting SAS or R code, it is better to do it from here rather than from the online textbook. The online text is in PDF format, and PDF documents contain invisible characters that can create trouble.