STAT 302 - Applied Statistical Methods

Credits: (3)

Prerequisites: STAT 301
Study of statistical methods with emphasis on inference, applications, and computing. Topics include two-sample hypothesis tests and confidence intervals, analysis of variance (ANOVA), correlation and simple linear regression, Chi-squared tests, and an introduction to nonparametric methods. Statistical computing using modern software for data analysis (such as R) is integrated throughout the course.

REAL Area L

Note(s): Applied Learning designated course.