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Handouts

A Short R Tutorial (updated)

Plotting concepts

Experimental design

Statistics fundamentals

Hypothesis testing

Alpha, beta, and errors

Combined explanations

Type I and Type II Errors (Sokal and Rohlf reading)

Central limit theorem

Likelihood and Bayesian Statistics

Guide to Methods

Exam 2 examples of stating results

Exam 2 sample questions

Additional materials

Principal components analysis (PCA) tutorial

Non-metric multidimensional scaling (NMS) tutorial

Cluster analysis tutorial

Detrended correspondence analysis (DCA) tutorial