This course covers both descriptive and inferential statistics. 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 130 or MATH 131 or placement in MATH 132.
Core Curriculum Designation: QR
Grade Basis: Letter Grade
Credits: 4.0
