Applied Sampling

3 credits · Graduate credit

This is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area, and telephone sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures.