Applied statistics using SAS (SAS is a widely-used statistical package)
Instructor: Jimin Ding;
Office: Cupples I, Room 112A;
Email: jmding@math.wustl.edu
TA/Grader: Tianhui Gu (email: tianhui.gu@go.wustl.edu)
Office Hours: Tue. 2:30-3:30pm. in EADS 014 and 4:30-5pm. in Cupples I, 112A, or by appointment
Topics covered:
Introduction to SAS and SAS programming; contingency tables and
Mantel-Haenszel tests; general linear models and matrix operations
in SAS; simple, multiple, and stepwise linear regressions;
ANOVAs and interactions; nested and crossed interactions;
ANOVAs and regressions for vector-valued observations; topics chosen
from principal components analysis, discriminant analysis, logistic
regression, generalized linear models, and survival analysis.
Prerequisites:
Math 320 and Math 493 or their equivalents. Math 493 may be taken
concurrently.
Textbook:
Ronald Cody and Jeffrey Smith,
Applied Statistics and the SAS programming
language, 5th edition
Pearson Prentice Hall, 2004, ISBN 0-13-146532-5
NOTE: Solutions to odd-numbered problems are in the back of the book.
NOTE: The programs and data files used in the book can be downloaded at www.prenhall.com/cody
Exams:
In-class midterm will be given on Oct.24 (Thur.).
Final will be a take-home-exam and due on Dec. 17 (Tues.) by 3 pm. (The problem assignments will be given at least 2 weeks before the due date.) If you turn in your final within 24 hours after due date, the grade will be scaled by 60%. No final after 5 pm. of Dec. 18 will be graded.
Grades:
- There will be around five homework sets, one midterm, and a
takehome final. Grades will be based on the homework sets (around 50%), in class presentation (around 10%),
on the midterm (around 20%), and on the takehome final (around 20%).
Electonic files of your programs are required within 24 hours of due day.
Efiles should be sent to TA through email directly and will be used for only random checking.
If all calculation are done by hand, please also email TA saying no program is used. Submitting efiles/ sending emails will be counted for 5% of your grade.
Collaboration:
WARNING:
Make a copy of each homework before you hand it in !!
It may not be returned before you need to refer to it for the next
homework (or for the next test).
Problems:
- If a problem asks you to do a statistical test, EXPLAIN CLEARLY what
the null hypothesis H_0 is, what test you used, what the P-value is, and
whether the data is significant, highly significant, or neither. If you
use SAS, include this as part of your answer in part (i) below.
SAS PROGRAMS AND ASSIGNMENTS:
If you use SAS to do a homework problem, then the SAS program and
output must be included as part of the assignment. It is strongly suggested to include
your name in a title statement in your SAS
programs, so that your name will appear at the top of each output page.
SAS programs should be structured, or have enough comments, so that
someone who looks at the program a year from now can easily tell what the
program is doing. It is even better if descriptive comments can be put in
title (or title2 or title3) statements, since
these will appear in the SAS output as well as in the SAS program. SAS
programs may be graded for understandability.
All homeworks MUST BE ORGANIZED in the following order:
- First, your answers to all the problems in the homework.
- Second, all SAS programs that you used to obtain the
output for any of the problems. If possible, similar problems should be
done with the same SAS program. (In other words, write one SAS program
for several problems if that makes things easier. Better yet would be
one SAS program for the entire homework with appropriate title
statements to separate the problems in your output.)
- Third, all refered output tables and figures for all the SAS programs in the
previous step.
- If the answer to a problem requires a table or a plot that you need
to refer to in your answers, add page numbers to your homework and make
references in part (i) by page number, such as ``The scatterplot
for part (b) is on page #X in the SAS output below.''
Alternatively, you could Xerox a page or two of your SAS output and
include it in part (i) along with annotations as well as in
part (iii), but references by page number will usually be enough.
Some useful links and references:
- Guide to USING SAS by Prof. Stanley Sawyer
- SAS Online Manuals: detailed decriptions about SAS procedures, including all available options and related statistical theories.
- Using the SAS Windowing Environment: A Quick Tutorial,
L. Hatcher, SAS Institute Press, 2001.
- Applied Linear Statistical Models, 4th ed., John Neter,
M. Kutner, C. J. Nachtsheim, and W. Wasserman, Irwin/McGraw Hill, 1999.
- The Little SAS Book, Lora Delwiche & Susan Slaughter,
SAS Institute Press, 1995.
- A Handbook of Statistical Analyses using SAS, B.S.
Everitt and G. Der, Chapman & Hall, London, 1996.
- Applied Multivariate Statistical Analysis. 5th ed., R.
A. Johnson and D. W. Wichern, Prentice Hall, 2002.
- UCLA resource for learning SAS
Good books for reviewing elementary statistics:
- A Data-Based Approach to Statistics,R. L. Iman,
Duxbury Press, 1994.
- Statistics and Data Analysis
from Elementary to Intermediate, A. J. Tamhane and D. D. Dunlop, Prentice-Hall, 2000.
- Design and analysis of experiments, 2nd ed., Douglas
Montgomery, John Wiley & Sons, 1984. (Good for multiple-comparison
procedures.)