- April 11: You may submit soft copies of Assignment 5 instead of mailing them in as usual. Please convert your work to a PDF file if possible, and send it to the course TA. Also, most of you missed a lot of points on the regression part of Assignment 4, so here are some notes on what you should have done. Assignment 5 is on multiple regression, and will take considerably more effort than any prvious assignments. You should already have started!
- Mar 31: Assignment 5 (the last one) is up.
- Mar 21: Quizzes 7 and 8 have been assigned. (Quiz 8 will become available April 1.)
- Mar 10: Assignment 4 is up.
- Mar 9: Quiz 6 is up. I've also added approximate due dates for all remaining quizzes and assignments (to be assigned in due course). You can use this for planning the remainder of the semester.
- Feb 24: Quiz 5 is up. (Technical problems have been fixed.)
- Feb 17: Assignment 3 is up.
- Feb 15 (3:30pm): The problems with the viewing of the formulas in Quiz 4 have now been corrected. Quiz 4 answers saved prior to this change will need to be re-entered.
- Feb 10: Quiz 4 is up.
- Feb 6: Some of you are a little behind on the work that's due this week, so i've extended the deadlines for Assmt 2 and Quiz 3 by a few days. (See below.)
- Feb 4: Graded Assignments 1 have either been returned to you, or can be found on an envelope outside my office door. Grades are posted in WebCT. For those of you that wish to submit work directly to my office, this is also where you should place future assignments for grading (the cleaning crew tends to dispose of papers that are slipped under my door). During normal business hours you can also submit work to the secretaries in the main Statistics office, Griffin-Floyd Hall 101/102. If mailing in, remember to do so by the beginning of the week when the work is due, so that I will get it by the end of the week.
- Jan 25: Quiz 3 and Assignment 2 have been assigned.
- Jan 14: Quiz 2 has been assigned.
- Jan 11: Assignment 1 and Quiz 1 have been assigned (see below). Everybody should have access to the quiz via WebCT now, so try it out as soon as possible and report any problems.
- Jan 10: In the lecture slides you will occasionally see/hear references to
*self-tests*and*practice problems*. Disregard these and any other similar instructions that are in the slides themselves; they are remnants from last semester's course taught by a different instructor. The only practice problems you should be doing for this course are all the odd problems in the textbook. - Jan 3: The course has officially started. Lecture notes are available below and you can start viewing them. Two points of immediate urgency are (i) to get the book; (ii) to decide which statistical software package you will use and install it on your computer. Assignment 1, due late January, will require you to use this software.

- This is a distance course offered only to those that are off-campus. On-campus students wishing to take STA 6166 should register instead in the regular classroom-taught (non-distance) section 6622 (listed under department STATISTICS-CALS on the UF schedule of courses [http://www.reg.ufl.edu/soc/spr/index.html]). The regular section is NOT taught by Dr. Trindade.
- There are two sections in this distance version of the course: Section # 4745 is for UF students. Section # 5608 is for those in the Forensic Toxicology program.
- The web-based course will involve you going through the on-line notes at a certain pace, and submitting assignments by certain dates. The required pace will be similar to that of a regular 3-credit-hour course taken over a regular 15 week semester. Plan on devoting about 10 hours per week to the course.
- The course starts January 4 and ends April 28, 2005.

- Questions on course concepts (for example, what is a t-test?), should be addressed to the course TA: Zhen Li, via the e-mail: zhenli79@ufl.edu.
- All other questions (WebCT, assignments, quizzes, grades, etc.) should be addressed to the course instructor: Dr. Alex Trindade, via the e-mail: trindade@stat.ufl.edu. Dr. Trindade's office hours are Mondays 1-2 pm, and Wednesdays 2-3 pm.

- Provide a foundation in basic statistical concepts.
- Introduce statistical inference based on the t, F and Chi Square tests.
- Introduce simple linear and multiple regression analysis.
- Introduce statistical aspects of experimental design and the associated analysis of variance and covariance.

- Your course grade will be based on a mix of Assignments (50%) and
Quizzes (50%). The former is meant to be the homework portion of your
grade; the latter the test portion. Although discussion with others in
broad conceptual terms is encouraged for the Assignments, your
submitted work must be your own. You
**MUST NOT**discuss the quizzes with others at all. I'll remind you that you are bound by the honor code in this respect. - Course averages of at least 90%, 80%, and 70% will guarantee the
passing grades of A, B, and C, respectively. (I may also
subdivide these into "+" and "no +".) Course averages below 70% are
login using your Gatorlink IDcandidates for the failing grades of D and E. If your course
average starts to fall in an undesirable (or catastrophic) category,
it is
**your responsibility**to counsel with me about what your options are, and what you might realistically be able to get. Once final grades have been awarded there will be**NO APPEALS!**You have been warned.

Prof. Alex Trindade

Dept. of Statistics

University of Florida

P.O. Box 118545

Gainesville, FL 32611-8545

Include an addressed envelope (no stamp) if you would like the graded assignment returned, else you will just see the grade in WebCT. **The due dates below indicate when your work must be received by me**. No late work will be accepted.

- Assignment 1 (out of 20): (Word file, Data). Due Thursday January 27.
- Assignment 2 (out of 20): Due Thursday February 17.
- Assignment 3 (out of 20): Due Thursday March 10.
- Assignment 4 (out of 20): Due Thursday March 31.
- Assignment 5 (out of 20): This is the final assignment, due Thursday April 21.

- Quiz 1: Due midnight Tuesday Jan 25. It's over Sections 1-2 of Unit 1.
- Quiz 2: Due midnight Thursday Jan 27. It's over Section 3 of Unit 1.
- Quiz 3: Due midnight Sunday Feb 13. It's over Unit 2.
- Quiz 4: Due midnight Sunday Feb 27. It's over Unit 3, Section 1.
- Quiz 5: Due midnight Sunday March 13. It's over Unit 3, Sections 2 & 3.
- Quiz 6: Due midnight Sunday March 27. It's over Unit 4, Section 1.
- Quiz 7: Due midnight Wednesday April 13. It's over Unit 4, Sections 2 & 3.
- Quiz 8: This is the final quiz, due midnight Wednesday April 28. It's over Unit 5.

You should probably select a software package that you already have access to (through your home department's computing system for example) and/or will most likely end up doing research with. Failing this, if you have no prior computing experience and are not very computer-adventurous, I suggest you use **MINITAB**. If you are
more ambitious, computer-savvy, and plan on doing extensive statistical computing in
the future,
including preparing statistical plots for publication, I would
encourage you to become acquainted with **R**; but beware that it is a steep learning curve! Follow this
link to access some of my resources on statistical computing, particularly R.