STATISTICS 110C Syllabus
Duke
University, Spring 1999
Instructor: Ross Ulmer
Office Hours:
Wednesday 4 –5 p.m. or by appointment, in Room 210a, Old Chemistry
E-mail:
rulmer@acpub.duke.edu
Texts: Introduction to the
Practice of Satistics by Moore & McCabe
Interpreting Basic Statistics,Holcomb (required)
JMP Start Statistics, Sall and Lehman (optional)
Teaching
Assistants:
|
TA |
Office |
Phone |
e-mail |
Office Hours |
|
Steve Ponisciak (Sec. 3, 4) |
222 Old Chem. |
684-8840 |
Wed: 10:30 p.m. - 11:30, Thur: 1:00 p.m. - 2:00 |
|
|
Hongjun Wang (Sec. 1, 2) |
014 Language Bldg. |
660-5642 |
Thurs: 2:30 p.m. - 3:30, Fri: 9:30 a.m. - 10:30 |
Grading: 10% Homework, 20% Data Analysis Project, 20% Exam 1, 20% Exam 2,
30% Final Exam
The
final is cumulative, and will be held on Thursday, May 6, 2 – 5 p.m. Note:
the final will not be offered at alternative times, so make plans accordingly! Students scoring higher than 90% of all
possible points are assured an A, 80-89% B, 70-79% C, 60-69% D, and 59% or
below will not pass the course. Class
and section attendance and other forms of visible effort will be considered for
borderline cases.
Homework: Homework assignments and answers will be posted
on the WWW. Homework will not be graded
on a problem-by-problem basis. Instead,
if all problems are worked, you will get full credit (100%) for the
assignment. If the homework is
incomplete but at least one-half of the problems are worked, you will get 1/2
credit (50%) for the assignment. Late homework will not get more than 1/2 credit,
since the answers will be posted on the newsgroup or the WWW page soon after
the homework is due. Your lowest
Homework grade will be dropped.
Project: The project will give you the opportunity to
apply concepts learned in this class to a real life data set of your own
choosing. Details of the project are
described in a separate handout. You
will need to use the JMP-In statistical analysis computer program to analyze
your data. Students may work individually or in groups up to size four.
Statistical Analysis
Using JMP-IN: We
will use the JMP-In statistical package in this course, designed by SAS
Institute. SAS is one of the more
powerful statistical program packages, and is used extensively in research and
business settings around the world.
JMP-In is a relatively user-friendly menu-driven program that relieves
students of having do explicit SAS programming. You will be responsible for developing a working familiarity with
JMP-In. If you have a personal
computer, I highly recommend you buy the software and install it on your computer. If not, JMP-In is available in computer
clusters across campus.
Electronic
Communication:
WWW Page: There will soon be a web page for this
course. If you use Netscape or Internet
Explorer you will be able to find it at:
http://www.stat.duke.edu/courses/spring99/sta110c/ The web page will include course information,
syllabus, TA information, homework assignments, etc. Answers to homework and exams will also be posted there as the
class progresses.
Class Newsgroup: We will also provide a class newsgroup
(duke.courses.sta110c). You will be
able to post and read class messages on this newsgroup. The TAs and I will check the newsgroup
frequently and respond to any questions posted. This newsgroup, and the www page, will be good places to check
for any late-breaking information.
E-mail: If you have questions for the TAs, or me, I
encourage you to post them to the newsgroup since other students may have the
same question. However, if you prefer,
you may e-mail us directly.