STAT7029 Design of Experiments and Surveys
| 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 introduces the principles of data collection, with particular emphasis on the design of experiments and surveys, and methods for analysing such data. Topics chosen from: Principles of experimental design; Comparison of two treatments; Analysis of variance; Maximum likelihood and REML; Factorial experiments; Blocking and split-plot designs; Finite-population sampling, including censuses and sample surveys; Sampling methods, including stratification, clustering and complex surveys; Design-based analysis; Observational studies. |
| 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 |
|
| Workload | Standard semester course workload (39 contact hours) plus private study time. |
| Course Classification(s) | TransitionalTransitional courses are designed for students from a broad range of backgrounds and learning achievements, which provide for the acquisition of generic skills; or an informed understanding of contemporary issues; or fundamental knowledge for transition to Advanced or Specialist courses. |
| 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. |
| Incompatibility |
with STAT8029 Design of Experiments and Surveys |
| Prescribed Texts | See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT7029 |
| Preliminary Reading | See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT7029 |
| Indicative Reading List |
See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT7029
|
| Programs | Master of Applied Statistics |
| Other Information |
For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT7029 |
| Academic Contact | See http://ecocomm.anu.edu.au/courses/course.asp?code=STAT7029 |
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.
