Spring 2019 - STAT 890 G100
Statistics: Selected Topics (4)
Class Number: 3475
Delivery Method: In Person
Course Title: Applied Statistical Methods for Physiology and Kinesiology
Please note that Thursday's Lecture is actually 2 hours 14:30-16:20
A basic knowledge of statistics, typically a single course in your undergraduate degree. Please contact instructor if unsure of your background.
The use of statistical techniques and mathematical models in Biomechanics, Physiology and Kinesiology with special emphasis on experimentation, observational studies, and statistical model construction.
- Introductory Review.
- Experimental data – single factor/ two factor/ split-plot/ repeated measures.
- Linear and Logistic Regression
- Observational Studies
- Assignments 20%
- Term Test 1 15%
- Term Test 2 15%
- Final Exam 50%
All above grading is subject to change.
No formal text assigned.
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS