| 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) Office Hours: whenever the door is open, by appointment, and Website: http://www.stat.sc.edu/~habing/courses/516S01.html | ||||||||||||||||||||||||||||
| Bulletin Description: | 516—Statistical Methods II (3) (Prereq: a grade of C or higher in STAT 515 or 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. | ||||||||||||||||||||||||||||
| Note: | The deadline for dropping the course without failing is Monday, February 26 | ||||||||||||||||||||||||||||
| 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:
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| Required Text: | Primer of Applied Regression & Analysis of Variance, by S.G. Glantz and B. Slinker, McGraw-Hill, 2001. | ||||||||||||||||||||||||||||
| 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 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 required 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 Wednesday, 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 Wednesday, 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 7:45pm on Monday, May 7th. 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.
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| Homework: |
Homework is due at the beginning of the class period it was
assigned for. Late homework is not accepted. There will be at least 7 homework assignments. Only the top 5 scores will be counted towards the final grade in the class. Each homework assignment will be worth ten points. 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, the final answers must be clearly indicated, and all expository answers should be grammatically correct in order to receive full credit. Extra points may be deducted for violating any of the following:
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| 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 350.
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. Any student scoring under 69 on either of the first two exams will be given a chance to raise that score to a 69. The "second chance" exam must be taken within a week of the original exam's return. 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. |