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The current and official versions of the course specifications are available on the web at https://www.usq.edu.au/course/specification/current.
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STA3301 Statistical Models

Short Description: Statistical Models
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

Requisites

Pre-requisite: STA3300 or approval of examiner or Students must have completed STA8170 and be enrolled in one of the following Programs: GCSC or GDSI or MSCN or MADS or MSCR or DPHD.

Synopsis

This course introduces and extends the student's knowledge of linear models. The mathematical development of these models will be considered, however the focus will be on practical applications. The statistical program R will be introduced and used throughout the course. The topics include developing multiple regression models, testing hypotheses for these models, selecting the 'best' model, diagnosing problems in model fit, shrinkage methods, developing generalised linear models, and a range of applications of generalised linear models including logistic, Poisson and log-linear models. Analysis of different statistical models are practised using the statistical software package through the R and RStudio.

Course offers

Semester Mode Campus
Semester 2, 2021 On-campus Toowoomba
Semester 2, 2021 Online
Date printed 2 December 2021