MATH 3080-002: SAS labs II
Spring 2010
Instructor: Carlos Gamez
Instructor’s Website: http://www.math.utah.edu/~gamez/
Email: gamez@math.utah.edu
Office: JWB 129
Class Web page: http://www.math.utah.edu/~gamez/3080_labs/3080_labs.html
This syllabus is tentative.
Text: Learning SAS in the Computer Lab, Third edition, by Rebecca Elliott.
Price on Bookstore: $ 56.00 new, $ 42.00 used.
Price on Amazon: $ 42.53, used and new from $ 42.00 (check for updated information).
Course Description: This lab further explains procedures utilized in SAS. Students will learn to apply
analysis of variance, regression analysis, correlation analysis, nonparametric techniques and other tools
to different datasets.
ATTENDANCE: Attendance is not required although not attending the labs will give you a disadvantage.
Having instant instructor-to-student feedback is an benefit you won’t find in other classes. I will assume
all students have read the assigned module and material posted on the class web page. You will have
plenty of time during the labs to ask questions, this is the reason why I have not posted office hours, but
if you need some more help, we can arrange a meeting.
GRADING: There are a total of 12 assignments, the first two assignments worth 5 points while the
others worth 10 points. The maximum possible score is 100. This score corresponds to 10% of your
overall score in your 3080 course. Lab documentation will be posted the weekend before the
corresponding lab and assignments are due at the end of each lab. Late work will be accepted a week
after for half a credit unless a true emergency situation occurs. Work two weeks late won’t earn credit. I
will ask for written, signed documentation in case you want full points for late work. You need at least
70% in the labs in order to pass Applied Statistics.
SCHEDULE: The following schedule is subject to change:
Date
Assignment
Material Covered
Problems
January 14
January 21
January 28
February 4
February 11
February 18
February 25
March 4
March 11
March 18
March 25
April 1
April 8
April 15
Optional problems
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Assignment 5
Assignment 6
Assignment 7
Assignment 8
Assignment 9
Spring Break
Assignment 10
Assignment 11
Assignment 12
3070 labs review
Module 11: Two sample T-tests
Module20: Test for Categorical Data
Module15: Correlations
Module 16: Linear Regression
Module 17: Model Checking Regression
Module 18: Multiple Regression
Module 19: Aids for selecting models
Module 21: Nonparametric test
Module 25: Macro Variables and Programs
Optional review problems
11.1, 11.2
20.1, 20.2
15.2, 15.7
16.1, 16.4
17.1, 17.4.b
18.1, 18.2
19.1, 19.2
21.1, 21.2
25.1
Module 12: One-Way ANOVA
Module 13: Two-Way ANOVA
Module 14: Model Checking ANOVA
12.1, 12.4
13.2, 13.8
14.2, 14.8
Turning assignments before the lab
This is a good option if you know you can’t make it to the lab since I’ll be posting the next assigned
module along with the specific problems before the corresponding weekend. Email me the code after
you make sure it works along with pictures of the output (in JPEG format or you can create a PDF file
with the specific output).
Where to access SAS?
Fortunately several computer labs across campus have this software. SAS can be found at the computer
lab in the Knowledge Commons at the Marriott Library, Union and Rushing Center in the Mathematics
Department (http://www.math.utah.edu/ugrad/mathcenter.html ). You can also buy a SAS year
software license at OSL (Office of Software Licensing, sotware.utah.edu) for $45 which might not be a
good option if you intend to use SAS only for one semester.
Instructions on using Virtual Network Computing (VNC) to remotely control your Solaris Desktop will be
posted soon (Instructions are valid for use in Windows machines). Although not trivial to set, using VNC
is a great option if you want to use software from the mathematics department from the comfort of
your home.
A final resort is trying the apps server at CSBS: apps.csbs.utah.edu. Use your usual uNID and password,
the disadvantage of this option is that sometimes the connection is unstable.
Academic conduct
I am serious on making the classroom a fair place for everyone. Anyone taking an unfair advantage on
the class might face severe consequences, this include but is not limited to unnecessary talking not
related to the lab or making any other kind of distractions during class, copying someone else’s work or
making that possible. Making a phone call during the lab or talking while I am explaining the lab will
halve your score for that particular day on the first offense.
ADA statement
The Americans with Disabilities Act requires that reasonable accommodations be provided for students
with physical, cognitive, systemic learning, and psychiatric disabilities. Students need to contact me at
the beginning of the semester to discuss any such accommodations that they may require for this
course.