steps in planning and conducting a sample survey. Sampling
techniques including simple random sampling, stratified random sampling,
cluster sampling, and sampling with probabilities proportional to size.
Estimation techniques including difference, ratio, and regression
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
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.
(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 (5th ed.), PWS-Kent.
The final grade may be based on assignments (5%), class tests
(40%) and a final examination (55%).
Prerequisite:AS/SC/MATH 2030 3.0
or AS/SC/AK/MATH 3330 3.0 or AS/SC/PSYC 3030 6.0
ExclusionsThese courses may not be taken for credit after
taking MATH 3430: AK/MATH 2752 3.0, AK/ADMS 3352 3.0,
AK/ECON 3130 3.0.
Coordinator: P. Peskun.