Call Number | 13621 |
---|---|
Day & Time Location |
MW 6:10pm-7:25pm 717 Hamilton Hall |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Daniel Rabinowitz |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | Prerequisites: An introductory course in statistics (STAT UN1101 is recommended). Students without programming experience in R might find STAT UN2102 very helpful. Develops critical thinking and data analysis skills for regression analysis in science and policy settings. Simple and multiple linear regression, non-linear and logistic models, random-effects models. Implementation in a statistical package. Emphasis on real-world examples and on planning, proposing, implementing, and reporting. |
Web Site | Vergil |
Department | Statistics |
Enrollment | 24 students (84 max) as of 5:08PM Saturday, September 7, 2024 |
Subject | Statistics |
Number | UN2103 |
Section | 001 |
Division | Interfaculty |
Section key | 20241STAT2103W001 |