Statistics I (STAT*2040)
Code and section: STAT*2040*01
Term: Winter
Details
This course focuses on the practical methods of Statistics and the topics include: descriptive statistics; univariate models such as binomial, Poisson, uniform and normal; the central limit theorem; expected value; the t, F and chi-square models; point and interval estimation; hypothesis testing methods up to two-sample data; simple regression and correlation; introduction to analysis of variance. Assignments will deal with real data from the natural sciences and involve the use of statistical software for computing and visualization.
Note: These are the course outlines for the in-class version of the course.
Click here for the Distance Education (DE) offering.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Winter 2016) | 75.2 KB |
| Course Outline (Winter 2017) | 153.16 KB |
| Course Outline (Winter 2018) | 99.94 KB |
| Course Outline (Winter 2020) | 149.28 KB |
| Course Outline (Winter 2022) | 155.77 KB |
| Course Outline (Winter 2022)(DE) | 316.4 KB |