Biometry (Biology 465) - Next offered in FALL 2007 

Instructor: Dr. Peter Dunn
Lapham 497
ph: 229-2253
e-mail: pdunn@uwm.edu

Lecture times: Tues, Thurs. 930-1045 in Business S 171

Office hours: Tues, Thurs. 1100-1200.

Textbook: Introduction to Biostatistics by Glover and Mitchell (2002). McGraw Hill  <= this is likely to change by FALL 2007

Lecture Notes: Powerpoint files with slides from lecture will be available at the course D2L web site (D2L.uwm.edu)

Campus computers labs have Powerpoint. Microsoft Office (with Powerpoint & Excel) is available for purchase at:

wiscweb5.wisc.edu/wisc/UW_Milwaukee/st_products.html

Evaluation: Grades will be based on homework (4-5 assignments) and the midterm and final exams. In addition, graduate students will be required to make a 12-15 min presentation to the class on a topic of interest (chosen after consulting the instructor) and provide a 1 page (max) handout to the instructor. Grades will be allocated in the following manner:

Undergraduates: midterm 40%, final 40%, homework 20%

Graduate students: midterm 40%, final 40%, homework 10%, presentation 10%

The exams will involve problem-solving and short answer. They will be non-cumulative, but will rely upon understanding material covered earlier in the semester.

Note: Students who require note-taking or test-taking accommodations in order to meet any of the requirements of this course, please contact me as soon as possible to make suitable arrangements.

Lecture topics and corresponding chapters in Glover and Mitchell (readings are for your benefit and are not required)

 Week  Dates  lecture topic  Chapter no.
 1  27,29 Jan   Introduction, Types of Data

 1
 2  3, 5 Feb  Descriptive Statistics, Probability

 1
 3  10, 12 Feb   Computer lab (Lap 230) & Distributions

 2, 3
 4 17,19 Feb   Sampling Distributions, hypothesis testing

 4,5
 5 24, 26 Feb  One & Two sample tests

 6,7
 6  2, 4 Mar  F Distribution & ANOVA

 8
 7  9, 11 Mar  Review, Computer lab (Lap 230)
 8  16, 18 Mar  MIDTERM EXAM, no class on 18 Mar  
 9  23, 25 Mar  Spring Break  
 10   30 Mar, 1 Apr Two Factor ANOVA & Multiple comparisons

 9
 11   6, 8 Apr Multi-way & Nested ANOVA  see notes
 12  13, 15 Apr Linear Models

 10
 13  20, 22 Apr  Multiple regression, Computer lab (Lap 230)  see notes
 14  27, 29 Apr  Analysis of Frequencies

 11
 15  4, 6 May  Graduate Student Presentations  
 16  11, 13 May  Graduate Student Presentations, Review  
     
    Final exam