Geology students reviewing a topographical map. background

Course Catalog

Statistics in the Sciences

The course covers both descriptive and inferential statistics and how they are used in science and engineering. Major topics include discrete and continuous random variables, probability and density functions, statistical inference and sample statistics, confidence intervals, hypothesis testing, analysis of variance (ANOVA), and regression analysis. Students will learn to implement these topics in the R programming language for statistical computing. Prerequisite: MATH 131 or placement in MATH 132.

Core Curriculum Designation: QR
Grade Basis: Letter Grade
Credits: 4.0