Statistics II (STAT*2050)
Code and section: STAT*2050*01
Term: Fall
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 (Fall 2015) | 157.26 KB |
| Course Outline (Fall 2016) | 184.53 KB |
| Course Outline (Fall 2017) | 551.41 KB |
| Course Outline (Fall 2018) | 424.52 KB |
| Course Outline (Fall 2019) | 106.76 KB |
| Course Outline (Fall 2020) | 82.03 KB |
| Course Outline (Fall 2021) | 133.71 KB |
| Course Outline (Fall 2022) | 231.52 KB |
| Course Outline (Fall 2023) | 98.22 KB |
| Course Outline (Fall 2024) | 93.68 KB |