sta3ma multivariate analysis
MULTIVARIATE ANALYSIS
STA3MA
2014
Credit points: 15
Subject outline
Most statistical problems involve many variables and therefore multivariate data analysis has an enormous range of applications. After reviewing key aspects of statistical methods for one variable and multiple regression, students are introduced to common multivariate statistical methods: screening and describing multivariate data, principal component analysis, factor analysis, cluster analysis and logistic regression. En route, you will encounter the multivariate Normal distribution, learn about matrix algebra and how to use SPSS for multivariate data analysis.
FacultyFaculty of Science, Tech & Engineering
Credit points15
Subject Co-ordinatorGraeme Byrne
Available to Study Abroad StudentsYes
Subject year levelYear Level 3 - UG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites MAT2LIN and either STA2FOR or STA3EXD
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjects There are no subjects at other campuses that could be substituted in whole or in substantial part of this unit.
Special conditionsN/A
Learning resources
Readings
Resource Type | Title | Resource Requirement | Author and Year | Publisher |
---|---|---|---|---|
Readings | Analysing multivariate data | Prescribed | Lattin, J.M., Carroll, J.D. and Green, P.E., 2003 | THOMAS BROOKS/COLE, PACIFIC GROVE, CA. |
Subject options
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Bendigo, 2014, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorGraeme Byrne
Class requirements
LectureWeek: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Computer LaboratoryWeek: 31 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
Assessment element | Comments | % |
---|---|---|
one 1,000-word assignment | 25 | |
one 2,000-word assignment | 50 | |
verbal presentation to the class (20 minutes) | 25 |