Statistics for Biologists

Catalog description

A course designed as an overview of statistical procedures common in biological research emphasizing their biological relevance and interpretation. Lectures will cover data presentation, parameter estimation, hypothesis testing, goodness of fit, analysis of variance, regression, and a brief introduction to modern methods of analysis. Labs will cover the practical implementation of statistical analyses using the statistical package R. Two hours of lecture and two hours of laboratory per week. Prerequisite: Grades of "C" or better in BI 102 or BI 192 and MA 116 . Recommended: MA 140 with a grade of C or better.