University of Pittsburgh

2132

Course Title: 
Applied Statistical Methods 2
Credits: 
3
Description: 

This course is the second semester of a two semester sequence in applied statistics. It explores popular statistical methodologies with the goal of understanding how to choose, apply, and interpret appropriate statistical designs and analyzes for practical problems. This second semester will follow Chapters 13-29 of Kutner, Nachtsheim, Netter & Li and cover topics such as generalized linear models (GLM), design and analysis of single-factor and multi-factor studies, random and mixed e ects models, nested designs, and repeated measures.  The appropriate sections of Littell, Stroup, & Freund will be used as a guide to data analysis in SAS. The texts will be supplemented by course notes and other material to emphasize particular topics of interest.

A sample syllabus is available here: http://www.isp.pitt.edu/stat2132syllabus

Spring 2015, Spring 2016

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