302332 (v.3) Applied Statistics 401
Note
Tutition Patterns
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.
Unit references, texts and outcomes
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.
| Area: | Department of Mathematics and Statistics |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 3.0 |
| Lecture: | 3 x 1 Hours Weekly |
| Syllabus: | 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. |
| 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 |
|---|---|---|---|---|---|---|---|
| 2011 | 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
