2009 Course Handbook
STAT320: Linear Models and Quality Improvement
This unit consists of two distinct modules, Modelling and Quality Management.
The first module discusses statistical modelling in general and in particular demonstrates the wide applicability of linear models. The emphasis is on practical issues in data analysis using multiple regression models demonstrated by the use of statistical packages for modelling and diagnostic testing.
The second module, Quality Management is concerned with aiding management of organisations to ensure that their process output meets customer requirements. To manage and improve the processes, it is essential that the quality of output be measured, and that the measurements be analysed and interpreted to provide information and process performance.
This section will primarily consider statistical methods and techniques that aid in detection of changes in the quality of output brought about, either by unintentional changes in the process, or by a deliberate attempt to improve the process. These will include some or all of the following: control charts, process capability, acceptance sampling, reliability and experimental design.
| Credit Points: | 3 |
| Contact Hours: | 4 |
| When Offered: | TBD - To be determined |
| Staff Contact: | Dr Prvan |
| Prerequisites: | STAT270(P) or STAT271(P) or BIOL235(P) or PSY222(P) or PSY248(P) |
| Corequisites: | |
| NCCWs: | PSY331, STAT375 |
| Unit Designations: |
Social Science
Commerce; Economics Science |
| Assessed As: | Graded |
| Offered By: |
Department of Statistics |