Design of Experiments and Surveys STAT7029  - Details

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Offered By: School of Finance and Applied Statistics
Academic Career: Graduate Coursework
Course Subject: Statistics
Offered in: 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:
  • 20% Assignments
  • 80% Final exam (3 hours)
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