Welcome to EXST7014 - Experimental Statistics II (Spring 2020)

• Week 1
1. Lecture: Tuesday & Thursday at 10:30-11:50AM in RM 241, Lockett Hall.
2. Lab: Session 1 Wednesday 11:00AM-12:50PM in RM 44, Woodin Hall. Session 2: Wednesday 9:00AM-10:50AM in RM 44, Woodin Hall.
3. The syllabus for EXST7014 is here.
4. The lecture and lab schedule for EXST7014 is here.
5. The handouts can be purchased in LSU Barnes & Noble Bookstore. The address is 2 Union Square, Baton Rouge, LA 70803. The telephone number is (225) 578-5137.
6. Tuesday: class cancelled.
7. Lab 1 is this wednesday (Jan 15). Here is the Lab 1 SAS handouts, Lab 1 R handouts and the dataset for Lab 1.
8. Thursday: Introduction and design identification.
9. The reference textbook "Statistical Methods" (by Freund, Mohr and Wilson) can be freely accessed from here (2010 Ed.).
10. The daily design problems are here.
• Week 2
1. Tuesday: Continue on design identification. Work on Daily Design 2 before class.
2. Here is the Lab 2 SAS handouts, Lab 2 R handouts and the dataset for Lab 2.
3. Thursday: class cancelled.
• Week 3
1. Tuesday: Review simple linear regression. Work on Daily Design 3 before class.
2. Read Chapter 7 in the reference textbook "Statistical Methods" by Freund, Wilson and Mohr. The link is above.
3. Here is the Lab 3 SAS handouts, Lab 3 R handouts and the dataset for Lab 3.
4. Thursday: Thursday: Continue on SLR and curvilinear regression. Work on Daily Design 4 before class.
5. Here is the statistic tables used in this course.
6. Here is the Appendix 1 and the tree weight data is here.
7. Exam I was moved to Tuesday, Feb. 18 (previously was scheduled on Feb. 20).
• Week 4
1. Tuesday: Introduction of matrix algebra. Work on Daily Design 5 before class.
2. Here is the Lab 4 SAS handouts, Lab 4 R handouts and the dataset for Lab 4.
3. Thursday: Matrix algebra in linear regression models. Work on Daily Design 6 before class.
4. Poster proposal due in Feb. 13 (Th).
5. Make-up class is this Saturday Feb. 8. Same time/place as regular class. Extra sum of squares and general linear hypothesis test. Work on Daily Design 7 before class.
6. Here are some practice problems for MLR. We will discuss them next week.
7. Here are some practice problems for design identification. We will discuss on next week.
• Week 5
1. Tuesday: Multicolinearity and SENIC example. Work on Daily Design 8 before class.
2. Here is the Lab 5 SAS handouts, Lab 5 R handouts and the dataset for Lab 5.
3. Exam I next Tuesday (Feb. 18). It covers the design identification from the handouts,
   which I gave you at the beginning of this course, and page 1~53 in your course package.
   You can bring one piece of formula sheet (A4 size and both sides) and a calculator.
   I will provide the table if needed. No wireless device such as iphone can be used in the test.
4. Poster proposal is in due this thursday.
5. Thursday: Diagnostics and review. Poster proposal is due.
6. Here is the solution for the design identification practice problems.
7. Here is the solution for the MLR practice problems.
• Week 6
1. Tuesday: Exam I in class.
2. Here is the Lab 6 SAS handouts, Lab 6 R handouts.
3. Thursday: Variable selection and model evaluation. Work on Daily Design 9 before class.
• Week 7
1. Tuesday: No class (Mardi Gras).
2. No lab this week (Mardi Gras).
3. Thursday: Lack of fit test. Work on Daily Design 10 before class.
4. Here is the solution for Exam I. The summary statistics for Exam I scores are: mean 77.2; SD 16.0; Q1 63.8; median 84.3; Q3 86.9.
• Week 8
1. Tuesday: Response surface and multisource regression. Work on Daily Design 11 before class.
2. Here is the Lab 7 SAS handouts, Lab 7 R handouts and the dataset for Lab 7.
3. Thursday: Logistic regression. Work on Daily Design 12 before class.
• Week 9
1. Tuesday: Review ANOVA (part I). Work on Daily Design 13 before class.
2. Thursday: Review ANOVA (part II). Work on Daily Design 14 before class.
3. Bonus points on submiting a new daily design.
   • You can have up to 20 points from submiting a new daily design.
   • Unlike the group poster, this is totally optional, not required.
   • Use this one as your template.
   • Your daily design should be original (i.e. not appeared in our exams, daily designs we used in class, and used by students from previous semesters).
   • Your daily design should have the background information.
   • You must clearly describe the experiment or observational study in your daily design.
   • Include some table or figure to make the things clear (this is optional).
   • Your daily design should include all ten questions (as in the sample) and choices for the answers.
   • Your daily design should include your answer to all the ten questions.
   • Your daily design should include reference.
   • It is ok to work as a group. But I will divide the points. For example, two of you submit the same daily design. Then each of you will get at most 10 points.
   • If your daily design is just single factor CRD with only experimental unit (i.e. sampling unit is the same as experimental unit), then you can only get up to 12 points.
   • You need to submit the daily design by the last week of the class.
   • I don’t need the hard copy. I only need the electronic copy via email.
   • Please save your filename as your name followed by the design, for example John_Smith_CRD.doc, John_Smith_RBD.doc, John_Smith_LSD.doc, etc.
   • Where can I find the studies suitable for daily design bonus problems? The best way is to find some journals in your study area. The search the papers related to a particular design.

Accessibility Statement
Provide Website Feedback