6123 (v.5) Applied Statistics 501

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:

3 x 1 Hours Weekly

Other Requisite(s):

Admission: upon prior completion of undergraduate units in statistics

Syllabus:

Review exploratory data analysis - t-tests and non-parametric equivalents, 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 randomized block design, Latin square design, split plot and nested design, factorial method of experimentation and analysis, experiment 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, 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:

10103 Statistics

Funding Cluster:

04 - Mathematics, 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
2005	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