Area: |
Department of Mathematics and Statistics | ||||||||||||||||||||||||||||||||
Credits: |
12.5 | ||||||||||||||||||||||||||||||||
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: |
1 x 2 Hours Weekly | ||||||||||||||||||||||||||||||||
Tutorial: |
1 x 1 Hours Weekly | ||||||||||||||||||||||||||||||||
Prerequisite(s): |
307590 (v.2) Statistical Data Analysis 101 AND 310532 (v.1) Statistical Data Analysis 102 or any previous version |
||||||||||||||||||||||||||||||||
Syllabus: |
Regression analysis - simple linear regression, measures of model adequacy, residual analysis, transformations, inference for slope and intercept, confidence and prediction intervals for future responses. Multiple linear regression analysis - estimation of model parameters, inference regarding model parameters and predictions, analysis of variance, regression diagnostics, variable selection and model building. Non-parametric methods - sign test, signed-rank test, rand-sum test, runs test. Kruskal Wallacetest, rank correlation coefficient checking distributions - Q-Q plots and Kilmogorov Smirnov Test. | ||||||||||||||||||||||||||||||||
** 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: | 010101 Mathematics | ||||||||||||||||||||||||||||||||
Funding Cluster: | 04 - Mathematics, Statistics | ||||||||||||||||||||||||||||||||
SOLT (Online) Definitions*: | Essential *Extent to which this unit or thesis utilises online information | ||||||||||||||||||||||||||||||||
Result Type: | Grade/Mark | ||||||||||||||||||||||||||||||||
Availability |
|||||||||||||||||||||||||||||||||
|