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.
|Term||Block||Title||Instructor||Location||Student Limit/ Available||Updated|
|Spring 2019||Block 6||Probability and Statistical Modeling||Flavia Sancier-Barbosa||TBA||25/25||11/15/2018|
|Spring 2019||Block 8||Probability and Statistical Modeling||Flavia Sancier-Barbosa||TBA||25/25||11/15/2018|