STAT 8020 Statistical Methods II, Section 001

Contact Information

Instructor: Whitney Huang
Email: wkhuang@clemson.edu
Class Time: TR 12:30pm - 1:45pm via Zoom
Office Hours: TR 11:00am - 12:00pm or by appointment via Zoom
Syllabus:Link

Announcements

Aug. 20: Welcome to STAT8020!

Schedule and Lecture Notes

Week	Day	Date	Topic	Lecture Notes	Software	Exam
1	Thu.	08.20	Class Overview and Review of Simple Linear Regression	Slides; Notes	R Lab 1; Code
2	Tue.	08.25	Simple Linear Regression II	Slides; Notes	R Lab 2; Code
2	Thu.	08.27	Simple Linear Regression III	Slides; Notes	R Lab 3; Code
3	Tue.	09.01	Simple Linear Regression IV	Slides; Notes	R Lab 4; Code
3	Thu.	09.03	Multiple Linear Regression I	Slides; Notes	R Lab 5; Code
4	Tue.	09.08	Multiple Linear Regression II	Slides; Notes	R Lab 6; Code
4	Thu.	09.10	Multiple Linear Regression III	Slides; Notes	R Lab 7; Code
5	Tue.	09.15	Multiple Linear Regression IV	Slides; Notes	R Lab 8; Code
5	Thu.	09.17	Multiple Linear Regression V	Slides; Notes	R Lab 9; Code
6	Tue.	09.22	Multiple Linear Regression VI	Slides; Notes	R Lab 10; Code
6	Thu.	09.24	Advanced Topics I	Slides; Notes	R Lab 11; Code
7	Tue.	09.29	Advanced Topics II	R Lab 12; Code
7	Thu.	10.01	Exam I			Online Exam I
8	Tue.	10.06	Categorical Data Analysis I: Inference for Proportions	Slides; Notes	R Lab 13; Code
8	Thu.	10.08	Categorical Data Analysis II	Slides; Notes	R Lab 14; Code
9	Tue.	10.13	Categorical Data Analysis III	Slides; Notes
9	Thu.	10.15	Categorical Data Analysis IV	Slides; Notes
10	Tue.	10.20	Logistic Regression	Slides; Notes
10	Thu.	10.22	Logistic Regression II	Slides; Notes	R Lab 15; Code
11	Tue.	10.27	Poisson Regression I	Slides; Notes	R Lab 16; Code
11	Thu.	10.29	Poisson Regression II	Slides; Notes	R Lab 17; Code
12	Tue.	11.03	No class - Election Day
12	Thu.	11.05	Exam II			Online Exam II
13	Tue.	11.10	Introduction to Design of Experiments	Slides; Notes
13	Thu.	11.12	Completely Randomized Designs	Slides; Notes	R Lab 18; Code
14	Tue.	11.17	Randomized Complete Block Designs and Factorial Designs	Slides; Notes	R Lab 19; Code
14	Thu.	11.19	Computer Experiments and Principal Component Analysis	Slides; Notes	R Lab 20; Code
15	Tue.	11.24	Classification and Cluster Analysis	Slides; Notes	R Lab 21; Code
15	Thu.	11.26	No Class - Thanksgiving
16	Tue.	12.01	An Introduction to Time Series Analysis	Slides; Notes	R Lab 22; Code
16	Thu.	12.03	An Overview of Spatial Statistics	Slides; Notes	R Lab 23; Code
17	Mon.	12.07				Online Final 3:00pm~5:30pm