EaES 480

Statistical Methods in Earth & Environmental Sciences

Instructor: Plotnick
Components: lectures, labs, paper
Prerequisite: consent of the instructor
Timing: spring semester
Frequency: alternate years
Credits: 4 credit hours

Techniques of probability and data analysis as applied to problems in the earth and environmental sciences. Topics include probability, data description, hypothesis testing, time series analysis, correlation and regression, and multivariate methods. Labs focus on the use of statistical packages for data analysis. Term paper is an analysis of a data set chosen by the student.