Stat 6390 Environmental Statistics Syllabus Stat 6390 Environmental Statistics Course Information

Topics • One-sample estimation and hypothesis tests • Two-sample estimation and hypothesis tests • Regression and ANOVA • Generalized linear models Important components of these topics include power, sample size determination, and observable differences for methods based on normality assumptions as well as alternatives to those assumptions. The statistics programming language R will be used heavily in this course. An extension to R called Rstudio also is recommended. Grading Policy Course grade will be based on quizzes, homework projects and the final project. A very useful extension for R is another freely available open-source package, RStudio. This package provides an intelligent editor for script files, it allows specific projects to be assigned to their own directories to aid in organization of your work, RStudio includes an interactive debugger to help identify and correct errors, and it provides an interactive GUI for easily exporting graphics to image files for incorporation into documents.