ES 415 - Environmetrics

3 Credit Hours

  An introduction to statistical and analytical techniques appropriate to the study of environmental data, including parametric, nonparametric, assumption checking, model building, and organization of data prior to data analysis to maximize data management. Includes understanding the appropriate statistical tests to conduct based on a research plan, and an introduction to statistical programming (i.e., SAS or JMP) to allow for conducting statistical tests with environmental data sets.