| Short Description: | Distribution Theory |
| Units : | 1 |
| Faculty or Section : | Faculty of Health, Engineering and Sciences |
| School or Department : | School of Sciences |
| Student contribution band : | Band 1 |
| ASCED code : | 010103 - Statistics |
| Grading basis : | Graded |
| Version produced : | 5 March 2021 |
Requisites
Pre-requisite: (STA2300 or STA1003 or equivalent) and (MAT1102 or ENM1600)
Synopsis
This course introduces students to the concepts and elements of probability and distribution theory. The topics include probability, random variables and their distributions, expectation, moment generating functions, standard discrete and continuous distributions, bivariate distributions, transformation techniques and sampling distributions related to the normal distribution. This course also includes practical applications of these distributions and introduces statistical computations using R.
Course offers
| Semester | Mode | Campus |
|---|---|---|
| Semester 1, 2021 | Online |