This course examines common statistical methods used in biology. Data science and statistical workflows are developed. Descriptive statistics, generalized linear models, regression, nonparametric tests, bootstrapping, randomization tests, tree-based analysis, multivariate statistics, and time-series analysis are considered. SPSS and the R programming and software environment will be used for data analysis.
Prerequisite: BIOL 2060, previously numbered BIOL 3090 or an undergraduate course in Statistics. Students who have not taken a statistics course within the last three years are required to audit BIOL 2060 lectures.