Statistics I (STAT*2040)
Code and section: STAT*2040*01
Term: Fall
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.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Fall 2015) | 213.03 KB |
| Course Outline (Fall 2016) | 340.33 KB |
| Course Outline (Fall 2017) | 164.09 KB |
| Course Outline (Fall 2018) | 214.65 KB |
| Course Outline (Fall 2019) - DE | 253.98 KB |
| Course Outline (Fall 2019) | 91.78 KB |
| Course Outline DE (Fall 2020) | 403.95 KB |
| Course Outline 01 Virtual (Fall 2021) | 192.99 KB |
| Course Outline DE (Fall 2021) | 325.8 KB |
| Course Outline (Fall 2022) | 134.8 KB |
| Course Outline DE (Fall 2022) | 724.24 KB |
| Course Outline DE (Fall 2023) | 766.67 KB |
| Course Outline (Fall 2023) | 254.88 KB |