| Instructor: Merlise
Clyde
|
|
| Office: 223 E Old Chemistry Building | Office hours: Mon & Wed 3-4 or by appointment |
| Phone: 681-8440 | Email: clyde@stat.duke.edu |
| Lecture:: Tuesday - Thursday @ 10:25-11:40, Room 025 Old ChemistryBuilding |
|
This course is designed for undergraduates who wish to do quantitative analysis for research projects and honors theses. Covers multivariate data analysis; model construction and critique; inference for discrete and continuous regression models; analysis of variance, linear regression, logistic and probit regression, time series, and survival models. Special emphasis on examples drawn from the student's major field, the use of statistical software, the written summary of statistical data analysis, and critical analysis of published quantitative analysis. Statistics at the level of STA 101 or recent experience with similar courses is expected.
Grading will be based on classroom presentations, homework, and inclass midterm and final, and final project.
Textbook: Statistical Sleuth by Ramsey and Schafer, 2nd edition. (required)
Optional: Modern Applied Statistics with S-Plus by William Venables and Brian Ripley, published by Springer-Verlag.
For data analysis we will use the software package S-Plus 
.
This program is available to all students at Duke and can be downloaded
from OIT.