Statistics 503
Statistical Methods for the Life Sciences
Fall 2001, Sections 1 & 3
Instructor: Chong Gu
Classes: 9:30 - 10:20 & 12:30 - 1:20 MWF, UNIV 117.
Labs: at class times on selected Fridays, WTHR
214.
Open Lab Hours: 7:00 - 9:00pm M - Th, WTHR 214. TAs in the lab can
help with Excel problems.
Office Hours: 10:30 - 11:30 MWF, MATH 540, or by appointment.
- Course Outline
- This is an introductory statistics course for life sciences
majors. The topics to be covered include data summaries, elementary
probability theory, basic statistical inference, and selected simple
statistical methods in a variety of settings. To facilitate practical
data analysis using the techniques learned in this course, lab
sessions are scheduled to illustrate tools available for analyzing
data in the Excel format.
- Textbook
-
- Statistics for the Life Sciences (2nd ed.), by
Samuels & Witmer.
- References
-
- Probability and Statistics for Engineering and the
Sciences, by Devore.
- Introduction to Probability and Statistics, by
Mendenhall & Beaver.
- Course Work
- There will be two midterms and a comprehensive
final. There will also be some in-class quizzes mostly
on Mondays, and weekly homeworks. All exams and quizzes are
open-book open-notes, and you do need a calculator that
works.
- Grading Policy
- The letter grade will be decided on the basis of homeworks (10%),
quizzes (10%), midterms (2 x 25%), and the final (30%).
- Calendar
- Click here for the due dates of homework
assignments and the schedules of labs, quizzes and exams.
- Homework Assignments
- Click here for the homework assignments
and related information.
- Late Homework Policy
- Late homework will not be accepted under any circumstances
at anytime for any reason except in the case of documented medical
emergency. Proof of medical emergency will be required at the time
late homework is turned in. If late homework is turned in without
talking to the instructor, it will be returned ungraded.
- Lecture Slides
- Click here for the slides I will be using
in the lectures. The slides are very sketchy. These can be good
review materials afterwards, but not so much as learning materials
without the verbal explanations to be delivered in the lectures.
- Lab Modules
- Click here for the lab modules.
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