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MATH342 — Applied Statistical Methods II

5 credits · 5 hours

5 CR This class will focus on various types of general linear models including simple and multiple regression, and log-linear models, as well as stepwise regression, logistic regression, and analysis of variance/covariance. The focus will be on statistics in real-world examples from various sources using programming languages R or Python. Students should expect to produce reports and presentations. Course

Prerequisites: MATH341

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