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ERIC Number: EJ1284346
Record Type: Journal
Publication Date: 2021
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0009-2479
EISSN: N/A
Available Date: N/A
Hierarchical Data Analysis for the Characterization of Polymeric Materials: Linking Measurements and Statistical Methodology
Filipovic, Nicholas; Scott, Alison J.; Penlidis, Alexander
Chemical Engineering Education, v55 n1 p11-22 Win 2021
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.
Chemical Engineering Education, Chemical Engineering Division of ASEE. 675 Wolf Ledges Parkway Suite 2459, Akron, OH 44309. Tel: 352-682-2622; e-mail: cee@che.ufl.edu; Web site: https://journals.flvc.org/cee/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A