4469 (v.4) Applied Statistics 503

Area:	Department of Mathematics and Statistics
Credits:	25.0
Contact Hours:	3.0
The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.
Lecture:	2 x 1 Hours Weekly
Practical:	1 x 1 Hours Weekly
Syllabus:	Designed for students who have completed undergraduate unit(s) in statistics. Review of exploratory data analysis: t-tests and non-parametric equivalents and power analysis. Experimental design and analysis of variance: review of one-way analysis of variance model; model diagnostics; multiple comparison techniques; principles of experimental designs; ANOVA for some standard experimental designs like randomised block design; Latin square design; split plot and nested design; factorial method of experimentation and analysis; experimentation with repeated measures; and analysis of covariance. Examples of applications using SPSS. Multiple linear regression: review of simple linear regression. The multiple linear regression model, parameter estimation and inferences about the regression parameters, F-testing overall model fit, variable selection and the stepwise algorithm for variable selection, model diagnostics and prediction. Examples of applications using SPSS. Multivariate methods: introduction, principal component analysis, clustering, discriminant analysis and MANOVA. Examples of applications using SPSS. Introduction to contingency tables and models for discrete.
To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.
Field of Education:	010103 Statistics
SOLT (Online) Definitions*:	Informational *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark

Availability

Year	Location	Period	Internal	Partially Online Internal	Area External	Central External	Fully Online
2009	Bentley Campus	Semester 1	Y

Area External refers to external course/units run by the School or Department or offered by research.

Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area

Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External

Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External