This course focuses on statistical analysis of health data, primarily through use of parametric statistical testing. This applied statistics course will support students in developing knowledge and skills in the management, analysis, and interpretation of quantitative data. The course will include both theoretical and practical aspects, using SPSS statistical software. Prerequisites: Graduate level or refresher course(s) in research design and statistics. Proficiency with statistical analysis software.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB 801
(85482) |
5 |
2023-09-05 - 2023-12-08 (T)
12:00 - 12:50
ONLINE
|
Primary Instructor: Kaitlyn Tate
|
|
LAB D01
(85480) |
15 |
2023-09-05 - 2023-12-08 (T)
12:00 - 12:50
MS 2-50
|
Primary Instructor: Kaitlyn Tate
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
SEMINAR 800
(85481) |
5 |
2023-09-05 - 2023-12-08 (T)
09:00 - 11:50
ONLINE
|
Primary Instructor: Kaitlyn Tate
|
|
SEMINAR A01
(85479) |
15 |
2023-09-05 - 2023-12-08 (T)
09:00 - 11:50
MS 2-50
|
Primary Instructor: Kaitlyn Tate
|