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 toward:
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.