The Department of Mathematics offers a rigorous core curriculum that challenges students to think abstractly, recognize and generalize patterns, communicate ideas, and define and solve problems. In addition, mathematics students can explore exciting developments in this rapidly changing field through special topics courses and independent research in areas such as game theory, chaos, and cryptography.

Course Catalog Description

This course develops further the ideas and techniques that were introduced in STAT 200 relative to regression modeling and experimental design, understood as instances of a matrix linear model. In addition, the student becomes familiar with at least one leading statistical package for performing the intensive calculations necessary to analyze data. Topics include linear, non-linear, and multiple regression, model-building with both quantitative and qualitative variables, model-checking, logistic regression, experimental design principles, ANOVA for one-, two-, and multiple factor experiments, and multiple comparisons.

Prerequisite(s): STAT 200, MATH 145 or 151, and MATH 143 or 210.

Course Catalog Description

The prerequisites are a sophomore standing and satisfaction of the Mathematics Proficiency requirement. This is a basic statistics course for undergraduate students. It is a study of the acquisition, presentation, analysis, and interpretation of data. Topics include: descriptive statistics and statistical graphics, experiments vs. observational studies, elementary probability, random variables and distributions, sampling distributions of statistics, confidence intervals, hypothesis testing for means and proportions, correlation, linear regression, and an introduction to ANOVA.