| 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 |