Statistics 344SM - Seminar in Statistics and Scientific Research: 'Survey Sampling'

Students will explore statistical techniques for analyzing complex survey designs. Sample surveys are used to obtain data on demography, health, and development; to measure attitudes and beliefs; to estimate natural resources; to evaluate the impact of social programs; and other uses. The proper analysis of these surveys is crucial to their utility. We will cover topics including survey design, estimation, statistical properties of estimators, poststratification, imputation, and survey error. We will also apply these methods by using real (and often messy) survey data through assignments and projects. Data analysis will be performed through R programming. Background should include estimation, confidence intervals and hypothesis testing.

Prereq: STAT-242 or both STAT-140 and MATH-342.