Department of Statistics

Class Assignments 4910

Assignment 1

• review Ch1 and Ch2
• Do 3900 Assignment 1
• Read Ch12 and do exercises 1,2,3

PROC IMPORT Examples

• CSV data file p3
• SAS program to read a CSV data file
• XLS data file p3
• SAS program to read an XLS data file

Another attempt at importing data, PROC IMPORT, and also includes PROC EXPORT.

• Loading data

Due next Tuesday 1/18/2000

• All problems assigned for 3910 and the three problems above.
• Here is an example of what a solution to each problem should look like.  Example

Assignment 2

• Ch3 do problems 4,6,7

Assignment 3

• Ch3 do problem 9

Due next Tuesday 1/25/2000

• All problems assigned for 3910 that are due on the 25th and the problems from Assignments 2 and 3 above.

Assignment 4

• class handout on PROC MEGER

Assignment 5

• Read Ch14 do problem 2
• Read Ch11 do problem 1 and use a MACRO variable for the number of questions
• type in the programs on page 266,268

Due next Tuesday 2/1/2000

• All problems assigned for 3910 that are due on the 1st and the problems from Assignments 4 and 5 above.

Due next Tuesday 2/8/2000

• All problems assigned for 3910 that are due.

Assignment 6

• type in program on pages 237-238
• Read Ch. 9 and do exercise 7

Due next Tuesday 2/25/2000

• All problems assigned for 3910 that are due.
• Problems from Assignment 6.

Project One:

The method of analysis you will be asked to perform is logistic regression.  The data set needs to have a dependent variable that is YES/NO and at least two independent variables that are qualitative or quantitative.  

Once you find a data set that you are interested in you need to get the approval of the instructor.  Some good web sites for finding data sets follow:

• UCLA Textbook
• Data Story Library
• Dartmouth Math 30
• Casebook in Statistics
• Introductory Statistics: Concepts, Models, and Applications, David W. Stockburger 
• Electronic Textbook StatSoft
• SURFSTAT
• SticiGui
• Hyperstat
• Elementary and Introductory Statistics,   Weiss, N.
• Statistical Data Analysis
• Data sets for Applied Linear Regression, Weisberg, S.
• Research Knowledge Base Cornell
• Exploring Data
• WebStat

The analyses that you should run are:

• run the logistic regression with all of your variables included in the model.
• select the most significant variables for a final model.

Finally, you should write a report that includes a Title, an Introduction that describes where you got your data and what variables are involved, an Analysis section that describes and presents the relevant descriptive statistics, correlations, plots, and results of the regression analysis, and finally a Conclusions section summarizes you findings.

SAS IML Examples:

• statdemo.sas
• regdemo.sas
• regdemo2.sas
• newton.sas

Assignment 7

• See Stat 3910 assignments.

Due 2/29/2000: Current assignments listed on the 3910 assignments.

Assignment 8

• Do assignment for 3900 for the CTL and HT simulation.
• Try some of the Examples is the last simulation Handout.

Due 3/9/2000

Second Project for Stat 4910:  Read the introductory sections for the chapter you have been assigned and write a brief summary of the method you are working with.  If you want to try to work on your data before Tuesday please send me an e-mail and I will send you the data.frame.

webmaster: Eric A. Suess    Last Edited: Sunday, March 05, 2000