Course code:
STAT*3100
Section:
01
Attachments:
| Attachment | Size |
|---|---|
 Course Outline (Fall 2015) [1] | 111.03 KB |
| Course Outline (Fall 2016) [2] | 51.24 KB |
| Course Outline (Fall 2017) [3] | 144.45 KB |
| Course Outline (Fall 2018) [4] | 77.78 KB |
| Course Outline (Fall 2019) [5] | 140.54 KB |
| Course Outline (Fall 2020) [6] | 169.61 KB |
| Course Outline (Fall 2021) [7] | 77.77 KB |
| Course Outline (Fall 2022) [8] | 150.67 KB |
| Course Outline (Fall 2023) [9] | 161.79 KB |
| Course Outline (Fall 2024) [10] | 86.71 KB |
Subject:
Statistics [11]
Course name:
Introductory Mathematical Statistics I
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.
Course term:
Fall [12]
Course level:
3000 [13]
Academic level:
Undergraduate [14]
