The third program in the core sequence explores quantitative methods for studying complex environmental phenomena. A primary focus is developing practical literacy in experimental design and data analysis. Students will learn statistical methods including graphical and tabular summaries, distributions, confidence intervals, t-tests, analysis of variance (ANOVA), Chi-square tests, linear regression, multivariate statistics, and both non-parametric and resampling approaches to these statistical methods. The program also introduces software for data management and statistical analyses. Computer lab exercises and collaborative group research projects help students develop proficiency in experimental design and statistical programs.
HYBRID CLASS PRESENTATION: This class will be offered in a "hybrid" approach. Class meetings will be offered, with both in-person attendance on campus CAL and fully-online (Zoom) options for student participation. Each class session will be broadcasted over Zoom to any students who elect to attend from home or other off-campus location.