90-794 Practicum in Applied Research: Urban and Regional Development

6 units, Carnegie Mellon University

In this course students will learn to apply statistical methods in selecting samples for survey research and to draw inferences from these samples concerning populations of interest. Taking simple random sampling as a point of departure attention turns to stratified and cluster sampling. Students will learn to think of sample size determination in terms of cost-benefit analysis where the cost of obtaining additional respondents must be weighed against the diminishing returns of information gained. Further topics will be drawn from the following: estimation of population size the use of weights in sample surveys nonresponse adjustment ratio and difference estimation. <a href='http://www.heinz.cmu.edu/academic-resources/course-results/course-details/index.aspx?cid=78'>...Read More</a>

Prerequisites: none listed

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