Local
announcements: (Please check here!)
- December 18, 2010 (10:00 PMish):
Final exam marks now available here. Please check to make sure ALL term marks are correct.
Instructor: Paul Cartledge
Office: CAB 409
E-mail: pdc2 at ualberta.ca
Office hours: Monday/Wednesday: 2:00 - 4:00 PM, Tuesday/Thursday: 9:30 - 10:30 AM, or by appointment.
Textbook: The Statistical Sleuth: A Course in Methods of Data Analysis (2nd Edition) by Ramsey and Schafer, Duxbury.
Prerequisite: STAT 141 or 151 or equivalent. It is extremely important that you have a strong grasp of the material in Stat 141 or 151 as there will be limited time for review.
Here is a checklist of what you should know from STAT 141 or 151.
I strongly encourage all Stat 337 students to go through the checklist to make sure that you in fact have the pre-requisite. This is especially important for those of you who took Stat 141 or 151 from another institution or for those who have taken some other class which you think is an equivalent to STAT 141 or 151.
Lab Assignments (10%): 5 Assignments
Hand your lab assignments into the appropriate lab box on 3rd floor CAB by 2200 (10:00 PM) on the due date.
Lab assignments will be returned in your lab.
See the Statistics Lab Website for all lab related information.
Homework Assignments (10%): 4 Assignments
Hand your homework assignments into the appropriate box on 3rd floor CAB by 2200 (10:00 PM) on the due date.
Homework assignments will be returned in class.
Help sessions are available MWF from 1200 - 1500 in CAB 563.
Homework # 1 (due Friday, October 1)
Homework # 1 Solutions
Homework # 2 (due Friday, October 15)
Homework # 2 Solutions
Homework # 3 (due Wednesday, November 10)
Homework # 3 Solutions
Homework # 4 (due Wednesday, December 8)
Homework # 4 Solutions
Exams: All exams are closed book and a non-programmable calculator is necessary. The formula sheets below will be provided by me.
Midterm and Final Exam Formula Sheet (Midterm uses first 2 pages ONLY.)
This is the T-table I will provide to you on your exams.
These are the F-tables. I will provide what you need on your exams.
Midterm Exam (25%):
A1: In class Friday, October 22 (50 minutes).
Practice Midterm 1 (a 50-minute midterm)
Practice Midterm 1 Solutions (a 50-minute midterm)
Practice Midterm 2 (a 50-minute midterm)
Practice Midterm 2 Solutions (a 50-minute midterm)
Lab Exam (10%):
Final Exam (45%)
A1: Tuesday, December 14 at 1400, Location: CEB 251
NOTE: A practice final covers MOST course material, but not ALL. Be aware of different notation.
Practice Final 1
Practice Final 1 Solutions
Practice Final 2
Practice Final 2 Solutions
Course notes:
Course Outline
Topic 1 (Design Concepts)
Topic 2 (One and Two Population Means)
- Graphical examples for checking assumptions
- Topic 2 Example data (1-sample t-test)
- Topic 2 Example data (independent 2-sample & paired t-tests)
- Analysis of Independent 2-Sample Data
- Analysis of Paired Data
Topic 3 (Several Population Means)
- Topic 3 Example data
- Graphical & Statistical Analysis of Data
Topic 4 (Simple Linear Regression)
- Graphical examples for checking assumptions of SLR
- Topic 4 Example data
- Graphical & Statistical Analysis of Data
Topic 5 (Multiple Linear Regression)
- Model Diagnostics (Extra topics not covered in class)
- Small Example of ANOVA vs. Regression
- Topic 5 Example data
- Graphical & Statistical Analysis of Data
Topic 6 (Population Proportions & Logistic Regression)
- Topic 6a Examples
- Topic 6b Examples
Topic 'Extra' (Non-Parametric Tests)
- Topic 'Extra' Example data
Topic 'Extra' (Two-Way ANOVA)
- Two-Way ANOVA Example
Overall Review (An Abstract Perspective)
Useful Links:
U of A Bears/Pandas Website
Learning the Language of Data
Google
IMDB.com
NHL.com
Class Results
(excludes zero values) |
| Evaluation type |
Out of |
Avg. (raw) |
Avg. (%) |
Max |
| Assign 1 |
40 |
37.9 |
94.7% |
40 |
| Assign 2 |
60 |
53.5 |
89.2% |
60 |
| Assign 3 |
65 |
60.0 |
92.3% |
65 |
| Assign 4 |
60 |
54.1 |
90.2% |
59 |
| Total |
225 |
193.4 |
86.0% |
221 |
| Midterm |
44 |
36.0 |
81.9% |
44 |
| Labs |
534 |
442.9 |
82.9% |
522 |
| Lab Exam |
30 |
26.2 |
87.2% |
30 |
| Final |
70 |
56.4 |
80.5% |
67 |