Statistics I (STAT*2040)
Code and section: STAT*2040*DE
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 Distance Education (DE) version of the course.
Click here for the in-class offering.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Winter 2016) | 191.36 KB |
| Course Outline (Winter 2018) | 374.65 KB |
| Course Outline (Winter 2021) | 190.48 KB |
| Course Outline (Winter 2022) | 316.4 KB |
| Course Outline (Winter 2023) | 324.99 KB |
| Course Outline (Winter 2024) | 134.04 KB |