Unit Code:	STA3MA
Unit Short Title:	MULTIVARIATE ANALYSIS
Credit Points:	15
Unit Description:	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.
Prerequisites:	MAT2LIN and either STA2FOR or STA3EXD
Class Requirements:	two 1-hour lectures and one 1-hour computer laboratory per week
Work Experience Indicator:	Not undertaking work experience in industry
Available to 'Study Abroad' students:	Y

Assessment:

Assessment Type	%	Comments
one 1,000-word assignment	25
one 2,000-word assignment	50
verbal presentation to the class (20 minutes)	25

Readings:

Reading Type	Title	Author	Publisher
Prescribed	Analysing multivariate data	Lattin, J.M., Carroll, J.D. and Green, P.E., 2003	Thomas Brooks/Cole, Pacific Grove, CA.

Unit Streams:

Teaching Period	Unit Class	Location
2   26-JUL-10   29-OCT-10	Day	BENDIGO

Unit Coordinators:

Title	First Name	Last Name	Location	Primary Coordinator
Dr	Graeme	Byrne	BENDIGO	Y