STATS 741 Special Topic in Sampling

Below description edited in year: 2013

Points: 15

Prereqs: 15 points from STATS 201, 207, 208, 210 or BIOSCI 209

Restrictions: STATS 340, 341, 351

Credit: Final exam 50%; assignment and laboratories 30% and test 20%

Textbooks: Lecture workbook will be distributed in class

For Advice: Alastair Scott (Email: a.scott@auckland.ac.nz | extn: 88751)

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 341 or STATS 351. STATS 741 looks at the design and analysis of sample surveys, including some of the theory behind the methods

Topics studied include: Design, implementation and analysis of surveys including questionnaire design, sampling design and the analysis of data from stratified, cluster and multistage sampling. Design and implementation issues for scientific experiments including blocking, replication and randomisation and the analysis of data from designs such as complete block, balanced incomplete block, Latin square, split plot, factorial and fractional designs

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2013), 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.