| Short Description: | Multvrt Stat Mthds |
| Units : | 1 |
| Faculty or Section : | Faculty of Health, Engineering and Sciences |
| School or Department : | School of Sciences |
| Student contribution band : | Band 2 |
| ASCED code : | 010103 - Statistics |
| Grading basis : | Graded |
Requisites
Pre-requisite: STA2300
Other requisites
STA3200 is not available to students who have already undertaken or intend to undertake STA8005.
Synopsis
This course covers some of the statistical concepts and methodologies appropriate for the analysis of large and/or high dimensional data sets. Students will learn the mathematical foundation of a number of statistical methods, the benefit and limitations of each method, how to correctly apply these methods using statistical software and how to assess the effectiveness of given analyses for given data sets. Students will also learn how to perform statistical analyses in the statistical software R. This will require students to master the writing of R code.
Course offers
| Semester | Mode | Campus |
|---|---|---|
| Semester 1, 2020 | Online |