301322 (v.2) Applied Statistics 570

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Area:	Department of Mathematics and Statistics
Credits:	25.0
Contact Hours:	4.0
Lecture:	1 x 3 Hours Weekly
Tutorial:	1 x 1 Hours Weekly
Prerequisite(s):	301344 (v.2) Probability Concepts 570 or any previous version AND 301349 (v.2) Mathematical Methods 560 or any previous version AND 301350 (v.2) Statistical Methods 560 or any previous version
Syllabus:	Review of matrix algebra - random vectors, mean vectors and covariance matrices, multivariate normal distributions, generalised linear models, maximum likelihood estimation and inference, introduction to multivariate statistical methods using MINITAB and SAS, multivariate analysis o variance, principal component analysis, distriminant analysis, factor analysis.
Unit Outcomes:	To develop practical skills in the applications of multivariate statistical techniques. To learn to use SAS statistical computing package. Though this unit is intended to be applied in nature, it should be realised that much of what will be covered hasto be supported by relevant theory.
Year Location Period Internal Area External Central External 2004 Bentley Campus Semester 2 Y