STAT8020 Multivariate Analysis
| Offered By | School of Finance and Applied Statistics |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Statistics |
| Offered in | First Semester, 2009 and First Semester, 2010 |
| Unit Value | 6 units |
| Course Description |
This course is directed at students interested in quantitative methods of marketing research. The aim of this course is to explore multivariate techniques used in modern marketing practice. Emphasis will be placed on case studies of marketing practice and on the practical application of the methods discussed. Topics to be drawn from: analysis of variance; regression analysis; principal components analysis; discriminant analysis; canonical correlation analysis; factor analysis; cluster analysis; multi-dimensional scaling; conjoint analysis. STAT8020 students will be expected to attend additional lectures which will cover a more detailed examination of the statistics involved in the multivariate analysis techniques mentioned above and possibly additional topics in the analysis of multivariate distributions. |
| Learning Outcomes | Intermediate level treatment of multivariate distributions and analysis technques. Topics include: principal components and factor analysis, multivariate analysis of variance and co-variance, disciminant analysis and classification techniques. |
| Indicative Assessment |
Project work: 40% Examination: 60% |
| Workload |
An average of 10 hours study per week, including attendance at two one-hour lectures and one one-hour tutorial or computing workshop each week |
| Course Classification(s) | AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. |
| Areas of Interest | Statistics |
| Eligibility | At least an average of 65% (or equivalent) in the final two years of an Australian undergraduate degree with at least two years of university level statistical and mathematical study including calculus and linear algebra, as well as mathematical statistics and linear regression theory. |
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Assumed Knowledge and Required Skills |
This course is offered as part of the Master of Applied Statistics degree and assumes knowledge of statistics equivalent to that required to gain admission to the Masters of Applied Statistics degree. For further details, refer to the Study@ANU area on the ANU website: http://info.anu.edu.au/studyat/.
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| Prescribed Texts |
The text for this course will be part III of the same text that was prescribed in STAT2003, a copy of which is available on short loan in the Chifley Library:
For STAT8020 students ONLY, a good text on multivariate statistical analysis is also recommended. One such text, which is available on short loan in the Hancock Library, is: • JM Lattin, JD Carroll & PE Green Analyzing Multivariate Data, Thomson-Brooks/Cole, Pacific Grove, California, 2003. |
| Indicative Reading List | A copy of this and any other handouts for the course will be made available via the WebCT site for STAT3005. Separate Web CT sites will NOT be maintained for STAT7007 and STAT8020 however all students should have access to the STAT3005 WebCT site. |
| Programs | Master of Applied Statistics and Master of Commerce |
| Other Information |
For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT8020 |
| Academic Contact | See http://ecocomm.anu.edu.au/courses/course.asp?code=STAT8020 |
The information published on the Study at ANU 2009 website applies to the 2009 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2008 website.
