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

AttachmentSize
PDF icon Course Outline (Fall 2015)157.26 KB
PDF icon Course Outline (Fall 2016)184.53 KB
PDF icon Course Outline (Fall 2017)551.41 KB
PDF icon Course Outline (Fall 2018)424.52 KB
PDF icon Course Outline (Fall 2019)106.76 KB
PDF icon Course Outline (Fall 2020)82.03 KB
PDF icon Course Outline (Fall 2021)133.71 KB
PDF icon Course Outline (Fall 2022)231.52 KB
PDF icon Course Outline (Fall 2023)98.22 KB

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