Biological Data Analysis
BIOL 304 (previously 204)
Principles and applications of statistics in biology, with emphasis on genetics, molecular biology, ecology, and evolution. Topics include: the visualization presentation of biological data, summary statistics, probabilities and commonly-applied probability distributions, the central limit theorem, statistical hypothesis tests, errors and power, tests using the z- and t-distributions, correlation and regression, analyses of variance, non-parametric tests, and reproducible analysis using the R statistical computing environment. Not open to students who have credit for another 100-level statistics course.
Instructor: Magwene or Mitchell-Olds
(Previously BIOL 204, now BIOL 304.)