Applied Statistics (STAT3014)
UNIT OF STUDY
This unit has three distinct but related components: Multivariate analysis; sampling and surveys; and generalised linear models. The first component deals with multivariate data covering simple data reduction techniques like principal components analysis and core multivariate tests including Hotelling's T^2, Mahalanobis' distance and Multivariate Analysis of Variance (MANOVA). The sampling section includes sampling without replacement, stratified sampling, ratio estimation, and cluster sampling. The final section looks at the analysis of categorical data via generalized linear models. Logistic regression and log-linear models will be looked at in some detail along with special techniques for analyzing discrete data with special structure.
Further unit of study information
Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratory per week.
One 2 hour exam, assignments and/or quizzes, and computer practical reports (100%)
Faculty/department permission required?
Unit of study rules
Prerequisites and assumed knowledge
STAT2012 or STAT2912
Assumed knowledge: STAT3012 or STAT3912
STAT3902, STAT3006, STAT3914, STAT3002
Study this unit outside a degree
If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.
If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.