19-250 Special Topics: Statistical Models for Engineering Analysis and Design

9 units, Carnegie Mellon University

An introduction to probability and statistics with examples drawn from across engineering and science to motivate the learning of fundamental concepts and methods. Population models and sample statistics rules of probability and conditional events discrete and continuous random variables simulation and sampling distributions parameter estimation classical and Bayesian tests of hypothesis goodness of fit introduction to regression analysis quality control.

Prerequisites: none listed

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