ENV 226 - Environmental Data Analysis

(S)
Lecture Hours: 2
Lab Hours: 3
Credit Hours: 3

Introduction to compilation, manipulation, and analysis of datasets common to environmental analysis. Includes measures of central tendency and spread; characterizing data distribution; linear regression; exceedance probability and cumulative frequency functions; understanding time series; and basic principles of graphical data displays.

Prerequisite: ENV 111 or GEOG 105, or instructor consent