Multivariate Statistical Analysis
Undergraduate
Undergraduate
MATH 3030
Undergraduate
No
101736
4.5
No
School of Information Technology and Mathematical Sciences
To provide students with the theoretical and practical knowledge of modern multivariate statistical methods and how to apply these to large data sets using R.
Introduction to multivariate descriptive statistics and displays; covariance matrices; principal component analysis; factor analysis; multivariate Normal distribution, Hotelling's T-squared; Canonical Correlation Analysis; Clustering; Mosaic Plots.
Johnson, Richard A. & Wichern Dean W 2000, Applied Multivariate Statistical Analysis, 5th edition, Prentice Hall , New Jersey
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
MATH 1036 | Statistical Methods |
MATH 1056 | Linear Algebra |
Students who have not undertaken MATH 1036 but can demonstrate an equivalent introductory statistics knowledge may be able to enrol in the course with course coordinator approval.
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, CITY WEST | |||
Lecture | 3 hours x 13 weeks | ||
Tutorial | 1 hour x 12 weeks | ||
Directed Study | N/A x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assignment 1, Assignment 2, Final take-home examination
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.