Sample Survey Design
Formerly known as ACMS4080.03
This course deals with the peculiarities of sampling and
inference commonly encountered in sample surveys in medicine,
business, the social sciences, political science, natural
resource management, and market research. Attention will be
focused on the economics of purchasing a specific quantity of
information. That is, methods for designing surveys that
capitalize on characteristics of the population under study will
be presented, along with associated estimators to reduce the cost
of acquiring an estimate of specified accuracy.
Topics include the principal steps in planning and conducting a
sample survey; sampling techniques including simple random
sampling, stratified random sampling, systematic sampling,
cluster sampling, and sampling with probabilities proportional to
size; estimation techniques including difference, ratio, and
regression estimation. The emphasis will be on the practical
applications of theoretical results.
The text will be R. L. Scheaffer, W. Mendenhall, and L. Ott,
Elementary Survey Sampling, 4th ed. (PWS-Kent).
The prerequisite is a second course in statistics such as
MATH2030.03 or MATH3330.03 or PSYC3030.06.
The final grade may be based on assignments (15%), a class test
(35%) and a final examination (50%).
Prerequisites: AS/SC/MATH2030.03 or AS/SC/MATH3030.03 or
Coordinator: P. Peskun