Introductory Mathematical Statistics I (STAT*3100)
Code and section: STAT*3100*01
Term: Fall
Details
The topics covered in this course include: Probability spaces; discrete and continuous random variables; multivariate distributions; expectations; moments, Chebyshev's inequality, product moments; sums of random variables, generating functions; Gamma, Beta, t and F distributions; central limit theorem; sampling distributions.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Fall 2015) | 111.03 KB |
| Course Outline (Fall 2016) | 51.24 KB |
| Course Outline (Fall 2017) | 144.45 KB |
| Course Outline (Fall 2018) | 77.78 KB |
| Course Outline (Fall 2019) | 140.54 KB |
| Course Outline (Fall 2020) | 169.61 KB |
| Course Outline (Fall 2021) | 77.77 KB |
| Course Outline (Fall 2022) | 150.67 KB |
| Course Outline (Fall 2023) | 161.79 KB |
| Course Outline (Fall 2024) | 86.71 KB |