STATS 741 Special Topic in Sampling

Below description edited in year: 2011

Prereqs: 15 points from STATS 201, 207, 208, 210 or at least B+ in BIOSCI 209

Restrictions: STATS 340, 341, 351

Credit: Final exam = 60%; coursework= 40% (1 test = 20% and assignments & laboratories = 20%); must obtain at least 50% in final exam to pass

Textbooks: Lecture workbook will be distributed in class

For Advice: Joss Cumming (Email: j.cumming@auckland.ac.nz | extn: 85756), Chris Wild (Email: c.wild@auckland.ac.nz | extn: 88797), James Curran (Email: j.curran@auckland.ac.nz | extn: 88755), Andrew Sporle (Email: a.sporle@auckland.ac.nz | extn: 85948)

Taught: First Semester City

Website: STATS 741 website

This course includes the material in STATS 340. It is intended for postgraduate students who have not already passed STATS 340. STATS 741 looks at the design and analysis of sample surveys, including some of the theory behind the methods.

Topics studied include: survey design (non-sampling errors, sample frame, question design and ethics), data management and information systems, and the analysis of data (from simple random, stratified, cluster and multistage sampling) with some theory.

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2012), is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.