STAT 1030 - Statistical Analysis

3 Credit(s)
Students in this course learn analysis techniques including hypothesis testing and confidence intervals for standard deviations for one and two populations, contingency tables (chi-squared), analysis of variance (ANOVA), least squares method, multiple regression models, and non-parametric hypothesis tests. Students will design, develop, and present a statistical analysis project. Successful completion of STAT 1010 with a grade of C- or better required. UG

3 Lecture Hour(s);

Required Prerequisite Course(s): Successful completion of STAT 1010 with a grade of C- or better required.