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
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
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:
 

  1. Graphically present multivariate data
  2. Evaluate the appropriateness and validity of a multivariate analysis technique
  3. Select and appropriately apply multivariate analysis techniques in a variety of areas
  4. 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.