Instructor:	Dr. Brian Habing, Assistant Professor office: 203 LeConte e-mail: habing@stat.sc.edu MSN messenger: brian@habing.com AOL messenger: DrStatpsy office phone: 777-3578 home phone: 739-2686 (9am to 10pm only) Office Hours: whenever the door is open, by appointment, and Tuesday & Thursday 9:00-11:00 & 3:30-4:30 Website: http://www.stat.sc.edu/~habing/courses/515S04.html
Bulletin Description:	STAT 516 —Statistical Methods II. (3) (Prereq: a grade of C or higher in STAT 515 or STAT 509 or equivalent) Applications and principles of linear models. Simple and multiple linear regression, analysis of variance for basic designs, multiple comparisons, random effects, and analysis of covariance. Statistical packages such as SAS.
Note:	The deadline for dropping the course without failing is Monday, February 23rd
Purpose of Course:	To complete a basic two course sequence (in conjunction with STAT 515 or 509) in statistical techniques available to the general practitioner for analyzing experimental data. To introduce students in many different disciplines to multiple regression and analysis of variance for basic experimental designs. To provide students with the knowledge to implement and interpret these standard linear models.
Expectations:	All students are expected to: Attend class regularly, asking questions when clarification is needed and participating in any in-class activities Read the material listed on the board before the next class meeting Attempt all of the assigned homework problems and turn them in at the start of the class in which they are due Use the resource of their fellow students and their instructor to seek answers to questions that arise in class, in the readings, and on the homework
Required Text:	Statistical Methods (2nd Edition), by R.J. Freund and W.J. Wilson, Academic Press, 2003. Additional materials are on the course website.
Computers and Calculators:	This course will use the software package SAS. You will have an account on the CSM Windows-NT domain. Currently the computers in LC 124, LC 303A and PSC 102 have SAS. Student copies of SAS for home use are also available for purchase from the university's computer services division. NO PREVIOUS KNOWLEDGE OF SAS IS ASSUMED. SAS is the de facto standard statistical package in a number of industries, and experience with SAS is a prerequisite for many jobs in statistics and in fields which use statistics. While we will only scratch the surface of SAS's capabilities, it should provide a useful introduction into the more standard routines, and a jumping off point for future experience with it. A basic calculator may be used on the exams. If your calculator is programmable you will be required to clear its memory before the exam starts.
Exams and Topics Covered:	There will be two exams and the final. The topics covered in the exams will generally follow the chapters of the text listed below. However, the exams may also cover material which was solely presented in class, and that is not contained in the text. A definitive list of topics covered will be distributed one week before each exam. The first exam will be held in class on Wednesday, February 18th. It will focus on subjects related to chapters 7 and 8 of the text, including: simple linear regression and the ANOVA table, multiple linear regression, model diagnostics, model interpretation, and model selection. A copy of last year's exam and answers will be distributed in class on Monday, February 16th. (They will also be posted on-line.) The second exam will be held in class on Monday, April 12th. It will focus on the material related to chapters 6 and 9-11 of the text, including: one-way and factorial analysis of variance, multiple comparisons, unbalanced designs, incomplete data, and random effects models. A copy of last year's exam and answers will be distributed in class on Wednesday, April 7th. (They will also be posted on-line.) The final exam will be held at 5:30pm on Monday, May 3rd. It will be cumulative, covering both the material from the previous two exams, as well as the material on analysis of covariance and logistic regression found in chapters 10 and 12 of the text. You may bring one 8.5 x 11 inch sheet of paper with hand written notes to use on the final. A copy of last year's final exam and answers will be distributed in class on Wednesday, April 28th. (They will also be posted on-line.) Make up exams will be given only in extreme circumstances, and only when accompanied by appropriate documentation. Incidence of cheating and academic dishonesty will be punished to the full extent allowed by university regulations.
Homework:	Homework is due at the beginning of the class period it was assigned for. Late homework is not accepted. There will be seven homework assignments. Each homework assignment will be worth 10 points, and the lowest homework grade will be dropped. Homework will be assigned at least one week in advance in class and will be posted on the class website. The writing on the homework must be legible, the work used to obtain the answers must be shown and correct, and the final answers must be clearly indicated in order to receive full credit. Extra points may be deducted for violating any of the following: Write on one side of the paper only. Multiple pages must be stapled together. No clips. Copies of the SAS code must be included with any homework requiring SAS. Extraneous pages of SAS output should not be turned in. You MAY work on the homework assignments with other students, but each student must write it up individually. (i.e., No photocopies of another student's work.)
Quizzes:	Seven (10 minute) quizzes will be given during the semester. One will be given at the beginning of class on each of January 26th, February 2nd, February 11th, March 3rd, March 22nd, March 31st, and April 26th. Each quiz is worth 5 points. The lowest quiz grade will be dropped.
Grades:	The grade is determined by the scores on the homework and examinations as follows: Homework 60 points Quizzes 30 points Exam 1 100 points Exam 2 100 points Final Exam 100 points with the letter grade determined by the percentage of points obtained out of the maximum possible 390. Letter Minimum Grade Percent A 90 B+ 87 B 80 C+ 77 C 70 D+ 67 D 60 F 0 If the score on the final exam is higher than the lowest exam score, it will be counted in the place of that exam score for the determination of the course grade. (You may not drop the final exam score). Any questions involving the grading of a homework assignment or exam must be raised by the class period following the one in which it was returned. There is no "extra credit". Any deviations from the above grading scheme will be to the benefit of the students.
Graduate Credit:	Students taking the course for graduate credit will be required to complete extra homework problems throughout the semester as a portion of their homework grade.
Complaints and Comments:	While there are end of semester evaluation forms, they come far too late to resolve any difficulties experienced in the class. All complaints should be raised by either speaking with me directly, or by anonymously leaving a message in my mailbox in 216 LeConte.