Teaches the practical side of exploring, presenting, and analyzing data. Students will learn to effectively use a statistical software package to accomplish these tasks. After learning to graphically display data in meaningful ways, students will learn to analyze data, test claims, and make valid conclusions. These analyses will include hypothesis tests involving more than one sample, linear and multiple linear regressions, chi-squared tests of independence and goodness of fit, and ANOVA.
Not Offered This Semester