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STAT3012 Design of Experiments and Surveys

Later Year Course

Offered By School of Finance, Actuarial Studies & Appl Stats
Academic Career Undergraduate
Course Subject Statistics
Offered in First Semester, 2011 and First Semester, 2012
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
  • Three assignments (10% each) - 30%
  • Final Exam - 70%
Workload

Three contact hours per week plus private study time.

Areas of Interest Statistics
Requisite Statement

Corequisite: STAT2001 Introductory Mathematical Statistics

Prerequisite: STAT2008 Regression Modelling

Prescribed Texts

See Course Website:  http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3012

Preliminary Reading

See Course Website:  http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3012

 

Indicative Reading List See Course Website:  http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3012
Other Information

For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3012

Science Group C
Academic Contact See: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3012

The information published on the Study at ANU 2011 website applies to the 2011 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2010 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions