STAT7029 Design of Experiments and Surveys
| Offered By | Rsch Sch of Finance, Actuarial Studies & App Stats |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Statistics |
| Offered in | First Semester, 2012 and First Semester, 2013 |
| Unit Value | 6 units |
| Course Description |
This course primarily deals with the theory of survey sampling. Topics covered include: simple random sampling, with and without replacement; estimation of population total, mean and proportion; subpopulation inference; systematic sampling; stratified sampling; ratio estimation; unequal probability sampling, including the Hansen and Hurwitz estimator and the Horvitz-Thompson estimator; regression estimation; cluster sampling; and estimation of population size. |
| 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 |
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. |
| Programs | Master of Applied Statistics and Master of Applied Statistics |
| Other Information |
Please refer to Course Website |
The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.
