Descriptive statistics, graphing techniques, data screening and transformation, diversity indices, ANOVAs, post-hoc testing, dependent, independent and one-sample t-tests, simple linear regression and correlation, common non-parametric procedures, over-view of multivariate techniques such as NMDS and PCA. Experimental design, interpretation of analyses and report writing. -- Course Website
