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Probability and Statistical Modeling

Introduction to probability distribution theory and statistical inference. Descriptive methods for building models with emphasis on linear regression models including variance and covariance. Analysis of model fit and discussion of modern robust techniques. (This course is an appropriate first course in statistics for students with stronger mathematical backgrounds.) Meets the Critical Perspectives: Scientific Investigation of the Natural World requirement. Meets the Critical Perspectives: Quantitative Reasoning requirement.

Prerequisite: Mathematics 117 or 126.

Degree requirement — Critical Perspectives: I, Critical Perspectives: Q

1 unit — Kim, Sancier-Barbosa


Term Block Title Instructor Location Student Limit/Available Updated
Spring 2022 Block 5 Probability and Statistical Modeling Minho Kim TBA 25 / 25 09/17/2021
Spring 2022 Block 8 Probability and Statistical Modeling Flavia Sancier-Barbosa TBA 25 / 25 09/17/2021
Report an issue - Last updated: 09/17/2021