Statistical Techniques in Environmental Analysis

3 credits · Undergraduate

(3 hrs Lecture | 1 hrs Lab) Statistics describe and summarize data, and make predictions about a population from the information contained in samples. This course provides a working understanding of the elementary statistical techniques and computational procedures for students with little background in mathematics, and focuses on the applications of these tools to the analyses of geographical and environmental data. Topics include scales of measurement, univariate descriptive statistics, time series analysis, probability, sampling design, hypothesis testing, regression and correlation analysis, and models as quantitative techniques. Restrictions: Students may not hold credit for this course and GEOG-2310. Requisite Courses: Any 3 credits of 1000 level Geography courses or permission of the instructor [prerequisite(s)]; GEOG-2309L (lab) (must be taken concurrently).