Spring 2008-STAT 371 (Lecture 2)

Introductory Applied Statistics for the Life Sciences

 

  PLESE SEE THE SYLLABUS FOR MORE DETAILS.
 
HOME

SYLLABUS

ANNOUNCEMENTS

HOMEWORK

REFERENCES

DISCUSSION

LECTURES


Time:
TR 11:00am-12:15pm
Location:
B 371 Chem
[campus map]
Instructor:
Sunduz Keles, Ph.D.
Office:
1245B Medical Sciences Center (MSC)
Email:
keles at stat.wisc.edu
Office hours:
W 5:15pm-6:15pm ; R: 3:45pm-4:45pm
TAs:
Jingci Meng (mengj at stat.wisc.edu) (321, 322, 323)
Quac Tan Tran (tran at stat.wisc.edu)(324, 325, 326)

TAs offices:
Jingci Meng: 1245D MSC 
Quac Tan Tran: B248J MSC
TAs office hours:
Jingci Meng: T 2:10-4pm
Quoc Tan Tran: MF 4:00pm-5:00pm
Discussion sessions:
T 1:20pm (321); T 4:00pm (322); W 8:50pm (323)
W 12:05pm (324); W 8:50am (325); W 4:35pm (326)
Course email list:
stat-371-2-s08@lists.wisc.edu

Description

The aim of this course is to provide undergraduate students in the life sciences with an introduction to modern statistical practice. Topics include: exploratory data analysis, probability and random variables; one-sample testing and confidence intervals, role of assumptions, sample size determination, two-sample inference; basic ideas in experimental design, analysis of variance, linear regression, goodness-of fit. See the syllabus for more information.

Note that  students  may receive credit for no more than one of the following courses: Stat 201, 224, 301, 324, & 371.


Prerequisites

Math 112 & 113 or Math 114 or equivalent.

Required text
Statistics for the Life Sciences, by Samuels and Witmer (3rd edition). A substantial portion of the text will be covered. There may be some  material  presented in the lectures that is not included in the text. You will be responsible for everything covered in the lectures.

Computing

For some homework assignments, we will make use of the freely available software  R. R runs under Windows, Macs, and Linux, and R is also available in several public computer labs on campus. I encourage all of you to
get access to R as quickly as possible. If you have your own computer, download the appropriate version of R from  CRAN  otherwise check it out on one of the public computer labs on campus.

Grading

Weekly homework assignments
15%
Due on Tuesdays in class.
Midterm I (in class)
25%
March 4, Tuesday (in class).
Midterm II (in class)
25%
April 8, Tuesday (in class).
Final Exam
35%
May 13, Tuesday (@ 2:45pm).