519—Sampling. (3) (Prereq: STAT 515 or equivalent) Techniques of statistical sampling in finite populations with applications in the analysis of sample survey data. Topics include simple random sampling for means and proportions, stratified sampling, cluster sampling, ratio estimates, and two-stage sampling.

Usually Offered: Spring even years.

Purpose: To acquaint graduate and undergraduate students with the methodologies and issues associated with modern survey sampling. The course strikes a balance between application and theory.

Current Textbook: Elementary Survey Sampling (6th ed.), by R.L. Scheaffer, William Mendenhall, and Lyman Ott. Duxbury Advanced Press, 1996

 

Topics Covered	Chapters	Time
Review of basic statistical concepts	3	1 week
Elements of the sampling problem	2	0.5 weeks
Simple Random Sampling	4	2 weeks
Stratified Random Sampling	5	2.5 weeks
Ratio, Regression, and Difference estimation	6	2 weeks
Systematic Random Sampling	7	0.5 weeks
Cluster Sampling	8	2 weeks
Two-stage Cluster Sampling	9	2 weeks
Selected Topics	parts of 10, 11	0.5 weeks

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check with the instructor for the course regulations, expectations, and operating procedures.    

Contact Faculty: TBD