Overview

This unit provides the theoretical background and practical skills which will enable students to perform, evaluate and report on a range of multivariate statistical analysis techniques. Students will be introduced to various statistical methods for exploration and analysis of multivariate data.

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Date Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • Graphically present multivariate data
  • Evaluate the appropriateness and validity of a multivariate analysis technique
  • Select and appropriately apply multivariate analysis techniques in a variety of areas
  • Produce and interpret the results of statistical analyses

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Online
Lecture		2.00 12 weeks 24
On-campus
Class		2.00 12 weeks 24
Specified Activities
Various		1.00 12 weeks 12
Unspecified Activities
Various		7.50 12 weeks 90
TOTAL150

Assessment

Type Task Weighting ULO's
AssignmentIndividual 50% 1,2,3,4 
Final-Semester TestIndividual 40% 2,3,4 
Online QuizIndividual 10% 2,3 

Content

  • Aspects of multivariate analysis and graphical presentation of multivariate data
  • Measures of distance in multivariate data
  • Multivariate normal distribution
  • Multivariate Analysis of Variance (MANOVA)
  • Discriminant analysis
  • Canonical correlation analysis
  • Cluster analysis.
  • Principal components analysis
  • Factor analysis

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.