Instructor:	Dr. Brian Habing, Assistant Professor office: 203 LeConte e-mail: habing@stat.sc.edu office phone: 777-3578 home phone: 739-2686 (9am to 10pm only) Office Hours: whenever the door is open, by appointment, and Monday/Wednesday 2:30-3:30 Wednesday/Friday 9:00-11:00 Website: http://www.stat.sc.edu/~habing/courses/516S02.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 25th
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 (about what was covered that day) 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:	Primer of Applied Regression & Analysis of Variance, by S.G. Glantz and B. Slinker, McGraw-Hill, 2001. 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, PSC 102, and Thomas Cooper Library 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. 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, and a representative past exam will be distributed in the class period before the exam. The first exam will be held in class on Thursday, February 21st. It will focus on subjects related to chapters 1-6 of the text, including: simple linear regression and the ANOVA table, multiple linear regression, model diagnostics, model interpretation, and model selection. The second exam will be held in class on Thursday, April 11th. It will focus on the material related to chapters 7-8 of the text, including: one-way and factorial analysis of variance, multiple comparisons, unbalanced designs, incomplete data, and random effects models. The final exam will be held at 2:00pm on Wednesday, May 8th. 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. 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 also be posted on the class website. If the homework is on a handout, that handout will be available in class and during office hours. 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:	Six short (10 minute) quizzes will be given during the semester. One will be given at the beginning of class on each of January 31st, February 14th, March 5th, March 21st, April 4th, and April 23rd. 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 25 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 385. 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. 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.
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.