STA508 Postgraduate Experimental Design & Analysis (8)
Abstract
Proper experimental design is a prerequisite to the efficient and cost effective resolution of comparative quantitative research questions. This subject introduces experimental design and analysis through the use of examples and by the study of underlying linear model. Use of appropriate computer packages allows testing of assumptions and investigation of advanced topics. Extensions of the basic methodology are explored. Students will gain experience in evaluating and presenting results in the form of a standard statistical report as used in professional practice. |
|
|
+ Subject Availability Modes and Location
Session 1 | Distance | Wagga Wagga Campus |
Continuing students should consult the SAL for current offering details: STA508
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
|
|
Subject informationDuration | Grading System | School: |
---|
One session | HD/FL | School of Computing and Mathematics |
|
|
Assumed KnowledgeSTA201 or STA401 or QBM217 |
|
|
Enrolment restrictions
Not available to students who have completed STA308 |
|
|
Incompatible subject(s) | Related subject(s) |
---|
STA308 | STA308 Covers similar content
|
|
Learning OutcomesUpon successful completion of this subject, students should:
- be able to identify situations for which a linear model is appropriate;
- be able to design, and check the design of, standard experiments reflective of professional practice;
- be able to perform the analysis of such experiments using appropriate statistical protocols;
- be able to communicate results and justify interpretations in terms of the original problem with logic and precision;
- be able to evaluate and present results, with an integrated understanding of the underlying theory, in the form of a standard statistical report;
- be able to critically test any assumptions underpinning the use of the linear model;
- be able to perform design and analysis tasks on recognised software platforms.
|
|
|
SyllabusThe subject will cover the following topics:
- Principles of experimental design.
- Simple linear regression: review and extension.
- Polynomial and multiple linear regression.
- Principles of experimental design; including completely randomised designs, randomised block designs and Latin square designs.
- Multiple comparison methods.
- Diagnostic checking of the basic model.
- The analysis of experiments with factorial treatment structures.
- Analysis of variance.
- Analysis of covariance.
- Statistical software.
|
|
|
Back
The information contained in the 2016 CSU Handbook was accurate at the date of publication: 06 September 2016. The University reserves the right to vary the information at any time without notice.