Filipovic, NicholasScott, Alison J.Penlidis, Alexander2022-04-132022-04-132021-01-01https://doi.org/10.18260/2-1-370.660-122355http://hdl.handle.net/10012/18144© 2021 American Society for Engineering Education. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference.As future chemical engineers, it is important that students be able to identify and quantify sources of error. A statistical analysis technique that is often overlooked is hierarchical design methodology, which allows for the separation of overall variance into several related components. While hierarchical methodology is relevant to many fields, we have demonstrated that it can be taught through the synthesis and characterization of polymeric materials. Basic statistical concepts are described, along with relevant examples.encharacterizationhierarchical designpolymersstatisticsHierarchical Data Analysis for the Characterization of Polymeric Materials: Linking Measurements and Statistical MethodologyArticle