Stat 411/511 covers statistical tools for dealing with one-, two-, and k-sample comparisons of quantitative responses, and the modeling of a quantitative response as a function of a quantitative explanatory variable (simple linear regression).
After taking this course, you should be able to: determine the appropriate statistical tool to use in data analyses involving one to several samples and simple linear regression; implement such analyses in R; summarize statistical findings in a precise yet nontechnical manner; and (ST 511 students only) prepare text summarizing methods and results that would be appropriate for submission to a scientific journal.
We will be closely following chapters 1–8 in The Statistical Sleuth by F. Ramsey and D. Shafer, 2nd Ed. If you buy from amazon using this link, I will use the affiliates proceeds to sponsor a class party at the end of the quarter. If you are buying used, you do not need the accompanying CD.
Course materials (lecture notes, homeworks and labs) will be posted at stat511.cwick.co.nz. Class email announcements and grades will be distributed through Blackboard. You need to have an ONID account in order to use Blackboard.
The lab sessions are designed to give you time to interact with data in R and practice the tools covered in lecture. Lab sessions are in Milne Computer Center 201 and are directed by the teaching assistants. There will be a lab in the first week. To participate in the labs, you must have an ONID account. Know your user name and password when you come to the lab.
Homework – 40% of final grade for ST411 students, 30% of final grade for ST511 students. Starting in the second week homeworks will handed in to your TA at the start of your Friday Lab session (there will be 9 graded homeworks total). No late homeworks will be accepted. You may discuss homework problems with other students in the class, but the final presentation must be your own.
Midterm – 30% of final grade. The midterm will cover chapters 1 through 4 and be held Friday, February 17th, during the usual lecture time.
Final – 30% of final grade. The final will cover chapters 5 – 8 and be held Monday March 19th at 1200.
Project (ST 511 students only) – 10% of final grade. Due March 14th before 1600. To be chosen by vote in class, either:
The report should be no longer than two pages. More guidelines will be provided after the midterm.
Final percentages will be converted to letter grades according to the following scheme:
| Percent | Grade |
|---|---|
| 90 – 100 | A |
| 85 – 89.9 | A- |
| 80 – 84.9 | B+ |
| 75 – 79.9 | B |
| 70 – 74.9 | B- |
| 65 – 69.9 | C+ |
| 60 – 64.9 | C |
| 55 – 59.9 | C- |
| 45 – 54.9 | D |
| 0 – 45 | F |
If you would rather be sleeping, reading the newspaper, messaging your friends, facebooking, tweeting, shopping or gaming I suggest you do it somewhere more comfortable than in the classroom.
For the first week, bring a laptop if you can. After the first week a calculator will generally suffice.
Academic dishonesty is a serious offense and will be addressed following the guidelines set out in the Academic Regulations of OSU (go to http://catalog.oregonstate.edu, click on Registration Information → Academic Regulations, and read AR 15).
The Student Conduct Code defines Academic dishonesty as
… an act of deception in which a Student seeks to claim credit for the work or effort of another person, or uses unauthorized materials or fabricated information in any academic work or research, either through the Student’s own efforts or the efforts of another.
Examples include, but are not limited to, the following:
Accommodations are collaborative efforts between students, faculty and Disability Access Services (DAS). Students with accommodations approved through DAS are responsible for contacting me prior to or during the first week of the term to discuss accommodations. Students who believe they are eligible for accommodations but who have not yet obtained approval through DAS should contact DAS immediately at (541) 737-4098.