Math 475 - Statistical Computation - Fall 2005


Applied statistics using SAS --- Prof. Stanley Sawyer     (SAS is a widely-used statistical package)

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.

Class Time and Location:

TTh 1:00-2:30   --   Cupples I  Room 113

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.

Links:

Homework Assignments
Take-Home Final   DUE  Wed Dec 21, 2005 by 3 PM
SAS programs covered or to be covered in class
Guide to using SAS:    PDF format    DVI format
SAS Online Manuals
Books for reviewing basic statistics
Click here for Math 434 (Fall 2005)
Prof. Sawyer's home page

Professor:

Prof. S. Sawyer   --   Cupples I  Room 107
Phone: (314) 935-6703
Email:  sawyer@math.wustl.edu

Office Hours:

Tuesdays 4:00-5:00pm, Fridays 4:00-5:00pm    Office:  Rm 107 Cupples I
(Warn me in advance if you are coming  --  or other times by appointment)

In-class Midterm Exam:   Thursday October 27

Exams, Homework Sets, and Grades:

There will be around five homework sets, one midterm, and a takehome final. Grades will be based on the homework sets (around 50%), on the midterm (around 20%), and on the takehome final (around 30%). Cr means D or better if you elect ``Credit/No Credit.''

Collaboration:

Collaboration on homework is allowed and can be helpful (and fun). Collaboration on homework is encouraged, both for using the computer and for doing problems. However, you must do all written work by yourself, both computer programs and answers to homework questions. You must also write, enter, and run all programs yourself.
If you collaborate with someone on a homework, list his or her name in a note at the top of the first part of your homework.

Collaboration on Takehome Tests:

There should be NO COLLABORATION on takehome tests, other than for the mechanics of using the computer.

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.

USING SAS:

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.
ALWAYS INCLUDE YOUR NAME in a title statement in your SAS programs, so that your name will appear at the top of each output page.
All homeworks MUST BE ORGANIZED in the following order:
  • (i) First, your answers to all the problems in the homework.
  • (ii) 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.)
  • (iii) Third, all output 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.
    MAKE SURE that part (iii) of your homework (SAS output) has consecutive page numbers, so that it is easy to find ``page #X'' in your output. If you use several different SAS programs for your output (which is often easier), then write your own page numbers on the output if necessary and refer to those page numbers in part (i) of your homework.
    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.

    SAS Online Printed Manuals:

    These have more detailed descriptions about what SAS procedures do, the options that are available, and the underlying statistical theory than the online help files in PC Windows SAS. (There is also a detailed manual for using Proc IML.)
    See SAS Online Manuals for more details.

    Some useful references:

    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.
    Design and analysis of experiments, 2nd ed., Douglas Montgomery, John Wiley & Sons, 1984. (Good for multiple-comparison procedures.)
    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.

    Good books for reviewing elementary statistics:

    R. L. Iman, A Data-Based Approach to Statistics. Duxbury Press, 1994.
    A. J. Tamhane and D. D. Dunlop, Statistics and Data Analysis from Elementary to Intermediate, Prentice-Hall, 2000.

    Both books have been used as textbooks for Math 320 at WashU. The second book (Tamhane et al) is drier but deeper.

    Click here for Prof. Sawyer's home page:

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    Last modified January 12, 2006