Statistics II (STAT*2050)
Code and section: STAT*2050*01
Term: Winter
Details
In this course, students will learn how to implement good study design and analyze data from complex studies. This course follows naturally from STAT*2040 and features both previously unseen statistical techniques, as well as studying in greater depth some topics covered in STAT*2040. These topics will include: experiments and observational studies; a review of t-tests and confidence intervals; confounding variables; association and causality; Analysis of Variance (ANOVA); simple and multiple linear regression; binary responses (logistic regression); odds ratios and relative risk; and an introduction to experimental design (including blocked designs and factorial treatment designs). Assignments carried out using modern statistical software will form the basis for mastering the material.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Winter 2017) | 91.68 KB |
| Course Outline (Winter 2016) | 81.74 KB |
| Course Outline (Winter 2018) | 1.98 MB |
| Course Outline (Winter 2019) | 76.17 KB |
| Course Outline (Winter 2020) | 74.09 KB |
| Course Outline (Winter 2021) | 89.38 KB |
| Course Outline (Winter 2022) | 192.46 KB |
| Course Outline (Winter 2023) | 86.41 KB |
| Course Outline (Winter 2024) | 104.66 KB |