MA3405:03
Multivariate Statistical Methods
| Townsville | HECS Band 2 |
39 hours lectures, 26 hours practicals. Semester 2. This subject may be offered in flexible delivery mode if the class size is small.
Staff: Assoc. Professor D Coomans.
Multivariate descriptive statistics, linear models and MANOVA, principal components, correspondence, factor, discriminant, canonical correlation and cluster analysis. Use of packaged statistics software.
Learning Objectives:
- to give the student a firm understanding of statistical methods, essential for extracting information from multivariate and “real world” data.
Assessment by coursework (tests and assignments) (30%); a three-hour examination (70%).