STAT 5630 - Sample Survey Methods

This course consists of a broad overview of the techniques of survey data collection and analysis and contains a minimum of theory. Topics may include: simple random, stratified, systematic, single-stage cluster, and two-stage cluster sampling; ratio and regression estimation; subpopulation analyses; problems of nonresponse; surveys of sensitive issues; minimization of survey costs; sample size determination. Real surveys are discussed and actual survey data are analyzed.

Prerequisites/Corequisites: Prerequisites: An introductory statistics course such as STAT 2600 or STAT 3640 and instructor approval.

Credits: 3 hours

Notes: Open to Upperclass and Graduate students.

Print-Friendly Page (opens a new window)