Statistical Design in Biology.

Catalog description

Students engage in a survey of various experimental designs and associated statistical analyses common in biology. Using primarily the general linear model,students explore in detail appropriate designs for the following statistical applications: independent t-test, Analysis of Variance, block, multivariate, paired t-test, repeated measures, correlation, regression, Analysis of Covariance, ordination, clustering, randomization, and goodness of fit. The class consist of lecture, practical exercises in analyzing data (using SAS, SPSS, or another comparable analytical program), and class discussion of experimental designs published in the primary literature. This course is meant to be a follow-up to Biostatistics (BIOL4374) in that the basic statistical theory are not presented. Rather, this course focuses on the practical use of experimental design for analyzing and interpretation data. Grading in this class is be based on exams and individual practical exercises. Prerequisite: BIOL 4374 (or equivalent), or permission of instructor.