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
|Review of basic statistical concepts||
|Elements of the sampling problem||
|Simple Random Sampling||
|Stratified Random Sampling||
|Ratio, Regression, and Difference estimation||
|Systematic Random Sampling||
|Two-stage Cluster Sampling||
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: Don Edwards