Experimental Design ^___

Offered Spring 2001, 2005

This course aims to provide the student with knowledge of experimental design, especially as this relates to the statistical analysis of these designs with an emphasis on the analysis of variance. Learning is lecture and project based using relevant biological examples. Students should expect to learn the proper design, analysis and presentation of experimental results. Topics covered include single and multi-factor designs, repeated measures designs, analysis of covariance, expected sums of squares, and general linear models. As time permits, specialized designs such as cross-over and latin square designs may also be discussed. Several homework assignments and projects involving computer analysis of provided datasets and write-ups of the results will be required. Prior exposure to statistics is required, either through an introductory statistics sequence, substantial exposure through upper division biology courses, and/or exposure through research experience.

Project 1; Data for Project 1

Project 2; Data for Project 2

Data for Project 3 (Repeated Measures Format)