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STATS 191: Introduction to Applied Statistics

Statistical tools for modern data analysis. Topics include regression and prediction, elements of the analysis of variance, bootstrap, and cross-validation. Emphasis is on conceptual rather than theoretical understanding. Applications to social/biological sciences. Student assignments/projects require use of the software package R. Prerequisite: introductory statistical methods course. Recommended: 60, 110, or 141.
Terms: Win | Units: 3 | UG Reqs: GER:DB-Math, WAY-AQR
Instructors: Walther, G. (PI) ; Ghosh, S. (TA) ; MacKay, M. (TA) ; Zhang, J. (TA)
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