BIO 390 Biostatistics
Testing hypotheses by experimentation and statistical analysis is the heart of the scientific method. Biostatistics covers experimental design and data analysis for biologists, emphasizing the practical application of statistics to different biological problems and datasets. Topics include the scientific method, probability, estimation, graphical data exploration, hypothesis testing, linear correlation and regression, simple and complex ANOVA, ANCOVA, categorical variables, power analysis, simple multivariate analysis, and other special topics depending on student interest. In class, students use the statistical programming software R to gain practical experience interpreting and analyzing experimental results.