This lecture covers testing, validation, verification, and the general process of simulation model calibration. Specific quantitative topics involve power analysis of a one-sample, two-tailed t-test as well as the application of a paired t-test for analyzing validity of a simulation model using data from a real system. There is a period at the end of the lecture where I accidentally refer to an OC curve as plotting effect size versus statistical power. I meant to say that it plots effect size versus false negative rate (beta, or type-II error). This is fixed in the posted slides for the class.