MATH 4830 - Applied Statistics

Review of estimation, confidence intervals and hypothesis testing; Anova; categorical data analysis; non-parametric tests; linear and logistic regression. Note: this course assumes that students have mathematical knowledge equivalent to an introductory course in statistics (e.g., MATH 2830). No co-credit with MATH 4387 or 5387 and doesn’t count for Math degrees. Cross-listed with MATH 5830. Max hours: 3 Credits. Semester Hours: 3 to 3