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Hierarchical Data Analysis for the Characterization of Polymeric Materials: Linking Measurements and Statistical Methodology

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Hierarchical Data Analysis for the Characterization of Polymeric Materials- 8 Linking Measurements and Statistical Methodology.pdf (548.92 KB)

Date

2021-01-01

Authors

Filipovic, Nicholas
Scott, Alison J.
Penlidis, Alexander

Journal Title

Journal ISSN

Volume Title

Publisher

ASEE

Abstract

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.

Description

© 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.

Keywords

characterization, hierarchical design, polymers, statistics

LC Keywords

Citation

URI

https://doi.org/10.18260/2-1-370.660-122355
 http://hdl.handle.net/10012/18144

Collections

Waterloo Research
Chemical Engineering