Statistics 244MP - Intermediate Topics in Statistics: 'Survey Sampling'
Mount Holyoke College
Clapp Laboratory 401
In this course, students will explore statistical techniques for designing and 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; along with many other uses. The proper design and analysis of these surveys is crucial to their utility. We will cover topics including survey design, estimation, poststratification, imputation, and survey error. We will also apply these methods by frequently using real (and often messy) survey data through assignments and projects. The analysis of the data will be performed through R programming. Background should include estimation, confidence intervals and hypothesis testing.
No prior knowledge of the statistical software R is required.
Permission is required for interchange registration during the add/drop period only.