STAT3008 Applied Statistics
Later Year Course
| Offered By | School of Finance and Applied Statistics |
|---|---|
| Academic Career | Undergraduate |
| Course Subject | Statistics |
| Offered in | Summer Session, 2009, First Semester, 2009, and First Semester, 2010 |
| Unit Value | 6 units |
| Course Description |
This course is designed for senior undergraduate and research students who need to design experiments and carry out statistical analysis of their data. Emphasis will be placed on the development of statistical concepts and statistical computing skills, rather than mathematical details. The content will be motivated by problem-solving in many diverse areas of application. The topics covered will include summarizing data by graphs and tables, the design and analysis of experiments, regression modeling with emphasis on model formulation, understanding the implications of model assumptions, diagnostic methods for model checking and interpretation, the analysis of binary and ordinal data and log-linear models for contingency tables. |
| Learning Outcomes | On completion of this course students should understand and be able to apply the processes and applications outlined in the course description. |
| Indicative Assessment |
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| Workload |
Three hours of lectures and tutorials per week plus private study time. |
| Areas of Interest | Statistics |
| Requisite Statement | STAT1008 Quantitative Research Methods or STAT1003 Statistical Techniques or STAT2001 Introductory Mathematical Statistics |
| Prescribed Texts | See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3008 |
| Preliminary Reading |
See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3008
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| Indicative Reading List | See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3008 |
| Other Information |
For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3008 |
| Science Group | C |
| Academic Contact | See: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3008 |
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.
