University of Pittsburgh


Course Title: 
Applied Statistical Methods 1

This course is the first semester of a two semester sequence in applied statistical methodology. The overall goal of the course is to gain a deep understanding of the foundations of popular methodology and in how to choose, apply, and interpret appropriate methods in practical applications. This first semester will cover linear regression and follows Chapters 1-12, and, if time permits, Chapter 13 of Kutner, Nachtsheim, Netter & Li. OLS and MLE estimation, hypothesis testing and con dence intervals, model interpretation, ANOVA, prediction, modeling building, and regression diagnostics are some of the topics that will be covered. The appropriate sections of Littell, Stroup, & Freund will also be covered and SAS will be used for data analysis. The text will be supplemented by course notes and other material to emphasize particular topics of interest.

A sample syllabus is available here:

Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019

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