This course examines parametric and simulation-based hypothesis testing and associated errors. Students use confidence intervals and hypothesis testing for differences between two parameters, both parametric and simulation-based. The course also incorporates tests of association and goodness-of-fit, along with statistical modeling and parametric testing of both the simple and multiple models. Students perform diagnostic checking and analysis of variance.