6123 (v.4) 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:

20300 Information Systems (Narrow Grouping)

HECS Band (if applicable):

2

Extent to which this unit or thesis
utilises online information:

Informational

Result Type:

Grade/Mark

Availability

Year Location Period Internal Area External Central External
2004 Bentley Campus Semester 1 Y    
Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area