0.00 - 3.00 Credits
Prerequisite: Statistics 120. This course builds on a first course in statistics to broaden and deepen analytical skills. Topics include statistical models, experimental design, and creative data visualization. The types of models covered include interval estimation, hypothesis testing, power analysis, linear regression, ANOVA including block and two-factor designs, and chi-square tests.