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The current and official versions of the course specifications are available on the web at http://www.usq.edu.au/course/specification/current.
Please consult the web for updates that may occur during the year.

STA3200 Multivariate Statistical Methods

Short Description: Multvrt Stat Mthds
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Agric, Comp and Environ Sciences
Student contribution band : Band 2
ASCED code : 010103 - Statistics
Grading basis : Graded
Version produced : 24 May 2019

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, 2019 Online