BIO 384 - Intermediate Statistics

This is an intermediate-level course in biostatistics, emphasizing the use of statistics as a tool to answer scientific questions in ecology and other biological disciplines. Topics from introductory statistics courses will be explored in greater depth using the R software package. Additional advanced topics will include experimental design, meta-analysis, general linear models, complex regression, multifactor analysis of variance, and multivariate analyses. Within each topic, the assumptions of statistical tests will be examined, as well as methods to cope with violations of those assumptions. Students will develop skills in graphical display of quantitative data, exploratory data analysis, and critical evaluation of published statistical analyses. Students will use R software throughout the course to develop their coding skills.

3 credits

Prerequisite(s): BIO 211, AMS 110, or EBH 230; and BIO 201, BIO 202, or BIO 203

SBC: STEM+