Earth & Environmental Sciences
ENVR 2500: Biostatistics
Lecture - 4 credits
ND
EI
IC
FQ
SI
AD
DD
ER
WF
WD
WI
EX
CE
- Offers an overview of traditional and modern statistical methods used to analyze biological data using the free and open-source R programming environment.
- Lectures describe core statistical approaches and discuss their suitability for understanding patterns that arise at different levels of biological organization, from cellular processes to whole ecosystems.
- Supervised lab sessions offer students an opportunity to develop the R programming skills required to analyze the complex datasets that often emerge when addressing cutting-edge questions in biology.
- Topics include basic probability and sampling theory, experimental design, null hypothesis significance testing, t-tests and ANOVA, correlation and regression, likelihood, model selection, and information theory.
Offers an overview of traditional and modern statistical methods used to analyze biological data using the free and open-source R programming environment. Show more.
Co-requisites