![IEE 475: Simulating Stochastic Systems artwork](https://is4-ssl.mzstatic.com/image/thumb/Features/v4/5f/88/96/5f8896e9-9be5-529a-af14-cc807367568a/mza_1382744875394257421.png/100x100bb.jpg)
Lecture I (2020-10-29): Statistical Reflections
IEE 475: Simulating Stochastic Systems
English - October 29, 2020 21:07Courses Education simulation stochastic des dess discrete event system industrial engineering modeling Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
In this lecture, we review the basics of hypothesis testing (type-I error, type-II error, statistical power) and the fundamental processes underlying hypothesis testing that create relationships among these things. We then dig deeper into the assumptions necessary for using parametric tests, like the Student's t-test, and non-exact parametric tests, like the Chi-square test (e.g., what the "continuity assumption" is with regard to the Chi-square test and the related inference).