This course covers survey design, simple random, stratified and cluster samples, and estimation and variance estimation.
Prerequisite is Math Skills for Statistical Analysis (GSLL 3095) and Computing Skills for Statistical Analysis (GSLL 3096) or passing a competency exam.
This course has print-based exams that require a proctor. A Distance Proctor Form will be required. Electronic proctoring is not available for this.
This course can be applied towards:
STAA 551 (Regression Models and Applications) or STAT 540 (Data Analysis and Regression); STAA 562 (Mathematical Statistics with Applications) or STAT 530 (Mathematical Statistics) or written consent of instructor. This is a partial-semester course.
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at firstname.lastname@example.org. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Textbook and Materials
F. Jay Breidt
F. Jay Breidt is professor and past chair in the Department of Statistics at Colorado State University. Dr. Breidt joined the Colorado State faculty in 2001 after serving on the faculty in the Department of Statistics at Iowa State University since 1991. His research interests include time series, environmental monitoring, and survey sampling. He is a fellow of the American Statistical Association, elected member of the International Statistical Institute, and winner of the 2004 Distinguished Achievement Award from the American Statistical Association (ASA) Section on Statistics and the Environment. He is a member of the Federal Economic Statistics Advisory Committee and regularly serves on panels for the National Academies of Science. He received his M.S.and Ph.D. in statistics at Colorado State.