| Instructor: | 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) | ||||||||||||||||||||||||||||
| Course Website: | http://www.stat.sc.edu/~habing/courses/516S00.html | ||||||||||||||||||||||||||||
| Office Hours: | Whenever the door is open, by appointment, and
Monday/Wednesday 3:00 - 4:30 Wednesday/Friday 10:00 - 12:00 | ||||||||||||||||||||||||||||
| Prerequisite: | A grade of C or higher in STAT 515, 509, or equivalent. | ||||||||||||||||||||||||||||
| Credit: | 3 hours (undergraduate or graduate). Note that the deadline for dropping the course without failing is Monday, February 21st. | ||||||||||||||||||||||||||||
| Course Description: | Statistical Methods II. (3) (Prereq: STAT 515, STAT 509, or equivalent) One-way analysis of variance, multiple comparisons, ANOVA for basic designs, random effects models, analysis of covariance, and data management. Statistical packages such as SAS. | ||||||||||||||||||||||||||||
| 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 analysis of variance techniques used for basic experimental designs. To prepare the student to continue and further their studies in more specialized statistical topics such as quality control, design of experiments, nonparametrics, sampling, and time series. | ||||||||||||||||||||||||||||
| Required Text: | Statistical Methods (Revised Edition), by R.J. Freund and W.J. Wilson, Academic Press, 1997. | ||||||||||||||||||||||||||||
| Computers: | This course will use the software package SAS.
You will have an account on the
workstations in 303A LeConte which have this package. 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. | ||||||||||||||||||||||||||||
| Book Examples: | The book contains many example problems and practice exercises (with answers in the back). These will generally NOT be worked out in class, but the best of these will be listed on the board at the beginning of class. It is your responsibility to go over these. | ||||||||||||||||||||||||||||
| Homework: |
Homework is due at the beginning of the class period it was
assigned for. Late homework is not accepted. Homework will be assigned at least three class periods in advance in class, and will also be posted on the class website later in the day on which it was assigned. If the homework is on a handout, that handout will be available in class and during office hours.
There will be eight homework assignments. Each graded from 0 to 10 points. Only the highest six scores will count towards the final grade. Two points will be deducted for violations of each of the following rules:
You MAY work on the homework assignments with other students, but each student must write it up individually. (i.e., No photocopies of other students work.) Any questions about the grading of a problem on the homework must be made by the class period following the one in which it was returned. | ||||||||||||||||||||||||||||
| Exams and Topics Covered: |
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. The first exam is in class on Thursday, February 17th. It will focus on the subjects related to chapters 7, 8, and 6 of the text, including: regression, multiple regression and one-way analysis of variance. The second exam is in class on Tuesday, April 4. It will focus on the material related to chapters 9 and 10 of the text, including: ANOVA for standard experimental designs. The final exam will be held at 2:00pm on Monday, May 1st. It will be cumulative in nature, but will especially focus on the material in chapter 12 of the text, including: dealing with unbalanced data and analysis of covariance. 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. Any questions concerning a grade received on an exam must be raised by the next class period after it was returned. Any student scoring under 69 on either of the first two exams will be given a chance to raise their score to a 69. | ||||||||||||||||||||||||||||
| Grades: | The grade is determined by the scores on the
homework and the three examinations as follows:
with the letter grade determined by the percentage of points obtained out of the maximum possible 360, rounding the percentages up.
There is no "extra credit". Any deviations in the above grading scheme will benefit the student. | ||||||||||||||||||||||||||||
| 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. |