Statistics 480
Fall 2010
Section 1:
F
9:05 – 9:55 am
Section 2:
112 Boucke
Online
Course Description
This course covers the basic elements of the SAS® programming language. The course is
subdivided into two key components, data management and analysis. It will cover the major
aspects of reading data from multiple formats, recoding variables, and merging multiple data
sources. It will cover exploratory analyses: summaries, frequency tables, plots, and printing of
data. It will also cover some basic statistical procedures: t-Tests, χ2 Tests, Regression, and Fixed
Effects ANOVA. The only prerequisite is three previous credits in statistics. However, students
who have only taken Stat 200 may find this course prohibitively challenging.
Instructor
Office Hours
Dan Spencer
323 Thomas Bldg.
das5099@psu.edu
Thursday
12:00 – 1:00pm
Textbook (Very Optional)
Applied Statistics and the SAS® Programming Language (5th Edition)
By Ronald P. Cody & Jeffrey K. Smith
Amazon Link
Course Web Site:
In ANGEL course management system, you should be automatically registered. Please check the
website frequently for course materials and announcements. Go to http://cms.psu.edu and
login using your PSU access account. Select Stat 480 from the course list.
Required Workload
One Midterm Project
20%
Due Friday, October 15th at 11:55pm ‐ (Details to follow soon)
One Final Project
Due Monday, December
25%
13th
at 11:55pm
10 In Class Quizzes
15%
Lowest Two are dropped
10 Homework Assignments
40%
Lowest two are dropped
100%
Approximate Grading Scale
(Borderlines will not be raised)
A
A‐
93%
90%
C+
C
77%
70%
B+
B
B‐
87%
83%
80%
D
F
60%
< 60%
Random Notes
If you include “Stat 480” in the subject of your emails, they will be flagged and I will respond to
them faster. No makeup quizzes will be offered. Late homework will be accepted at a penalty of
20% per day late.
Academic Integrity Policy
All Penn State policies regarding ethics and honorable behavior apply to this course (see links
below for policy statements). Academic integrity is the pursuit of scholarly activity free from
fraud and deception and is an educational objective of this institution. All University policies
regarding academic integrity apply to this course. Academic dishonesty includes, but is not
limited to, cheating, plagiarizing, fabricating of information or citations, facilitating acts of
academic dishonesty by others, having unauthorized possession of examinations, submitting
work of another person or work previously used without informing the instructor, or tampering
with the academic work of other students. For any material or ideas obtained from other sources,
such as the text or things you see on the web, in the library, etc., a source reference must be given.
Direct quotes from any source must be identified as such. All exam answers must be your own,
and you must not provide any assistance to other students during exams. Any instances of
academic dishonesty WILL be pursued under the University and Eberly College of Science
regulations concerning academic integrity.
Explicitly:
Sharing of syntax files, solution files, and/or answer text is
strictly forbidden. You may work together on the
homework to resolve bugs, but the whole of your
submissions must be completely written by you.
Collaboration is not permitted on the projects.