STAT 245 - Applied Data Analysis

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FA. This course takes a practical approach to the fitting, assessment, and interpretation of statistical models. Specific topics include obtaining and transforming data, data visualization, the generalized linear model framework, and specific examples of frequently used generalized linear models (multiple regression, ANOVA, logistic regression, and Poisson regression). The approach focuses on specifying appropriate models, using software to obtain model fits and to assess the quality of models, interpreting models, and preparing statistical reports. Prerequisite(s): STAT 143, STAT 145, PSYC 255, SOC 255 with a grade of B- or better; STAT 241, STAT 243, STAT 343, with a grade of C- or better; or a 5 on the AP Statistics Exam; or permission of instructor.