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Course (Section) |
STA 660 (A) |
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Meeting Time: |
100-215 MW (plus other make-up times to be arranged in consultation with students) + meetings times with clients, etc. (TBA) |
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Meeting Location |
120 Bachelor Hall |
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Prerequisite: |
STA 666 |
| Grading: |
Pass/Fail |
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Professor |
Dr. John Bailer |
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E-mail: |
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URL: |
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Office (phone): |
292 Bachelor Hall (529-3538) 385 Upham Hall (529-1275) FAX: 529-1493 |
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Office Hours: |
10:00 - 11:00 MWF (other hours by appointment – don’t be shy!) |
Purpose of Course:
The university catalog describes STA 660 as "Supervised practice in consulting and statistical data analysis including use of computer programs." As part of this "supervised practice," we explore strategies for tackling research questions based upon available data, and written/oral presentations of analyses.
Course Objectives:
Chatfield (1995, p. 1) suggests that a statistician needs to be able to
1. formulate a real problem in statistical terms
2. give advice on efficient data collection
3. analyze data and extract maximum amount of information
4. interpret and report the results
STA 660 gives you experience with these 4 objectives plus the tools used to accomplish these objectives. Included in these tools are statistical computing software (e.g. SAS, R/S-Plus), software for graphical displays (e.g. R/S-Plus), word processing and presentation software.
Text(s) [Recommended/Required/Required]:
| G. van Belle (2002) Statistical Rules of Thumb. John Wiley: New York.
ISBN: 978-0-471-40227-5 |
N. B. Robbins (2004) Creating More Effective Graphs. John Wiley: New Yortk.
ISBN: 978-0-471-27402-5 |
P.I. Good and J.W. Hardin (2006) Common Errors in Statistics (and How to Avoid Them) 2nd Edition. John Wiley: New York. ISBN: 978-0-471-79431-8 |
Another good book (used in past 660s) ...
Chatfield, C. (1998) Problem Solving: A Statistician's Guide. Chapman & Hall/CRC Press. (suggested)
Other resources:
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ASA: |
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ASA Section on Statistical Consulting: |
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Miller |
Wiley |
Beyond ANOVA, Basics of Applied Statistics |
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Madansky |
Springer-Verlag |
Prescriptions for Working Statistician |
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Fox and Long |
SAGE |
Modern Methods of Data Analysis |
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Venables and Ripley |
Springer |
Modern applied statistics with S-PLUS |
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Derr |
Duxbury |
Statistical Consulting: A Guide to Effective Communication |
General student activities:
Analyze a series of projects and reporting the results. Most of these projects will involve the analysis of a particular data set. Some of the projects might involve literature reviews and reports. Most of these projects will be done by each student. A number of group projects are being tentatively planned. Finally, I am trying to arrange a semester-long project that the entire class will address.
General Flow of course (each week):
Monday: Initial examination of data reported and discussed (IDA)
Wednesday: Questions + New project(s) assigned + New stat. method/computing issue
Friday: Final analysis of data assigned