Five Hands-on Experiments for a Design of Experiments Course

AbstractIn many collegiate level statistics courses, the focus of the learning outcomes is often on the analysis of data after it has been collected. Students are provided with clean data sets from previous studies to practice statistical analysis, but receive little to no application as to the amou...

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Main Author: Victoria Woodard
Format: Article
Language:English
Published: Taylor & Francis Group 2023-09-01
Series:Journal of Statistics and Data Science Education
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/26939169.2023.2195889
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author Victoria Woodard
author_facet Victoria Woodard
author_sort Victoria Woodard
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description AbstractIn many collegiate level statistics courses, the focus of the learning outcomes is often on the analysis of data after it has been collected. Students are provided with clean data sets from previous studies to practice statistical analysis, but receive little to no application as to the amount of time and effort that goes in to collecting good data. To account for these deficits at the author’s institution, a design of experiments course was created that provided students with a more hands-on learning experience to the statistical process, especially as pertains to data collection. This paper focuses on five of the experiments that students designed and implemented during the course, and some suggestions to instructors that may wish to use these experiments in their own courses.
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spelling doaj.art-ac938d70eec14da3acc4ab295aaf93762023-11-15T21:32:15ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692023-09-0131322523510.1080/26939169.2023.2195889Five Hands-on Experiments for a Design of Experiments CourseVictoria Woodard0Applied and Computational Mathematics and Statistics Department, University of Notre DameAbstractIn many collegiate level statistics courses, the focus of the learning outcomes is often on the analysis of data after it has been collected. Students are provided with clean data sets from previous studies to practice statistical analysis, but receive little to no application as to the amount of time and effort that goes in to collecting good data. To account for these deficits at the author’s institution, a design of experiments course was created that provided students with a more hands-on learning experience to the statistical process, especially as pertains to data collection. This paper focuses on five of the experiments that students designed and implemented during the course, and some suggestions to instructors that may wish to use these experiments in their own courses.https://www.tandfonline.com/doi/10.1080/26939169.2023.2195889Matched PairsCompletely RandomizedFactorialNestedSplit Plot
spellingShingle Victoria Woodard
Five Hands-on Experiments for a Design of Experiments Course
Journal of Statistics and Data Science Education
Matched Pairs
Completely Randomized
Factorial
Nested
Split Plot
title Five Hands-on Experiments for a Design of Experiments Course
title_full Five Hands-on Experiments for a Design of Experiments Course
title_fullStr Five Hands-on Experiments for a Design of Experiments Course
title_full_unstemmed Five Hands-on Experiments for a Design of Experiments Course
title_short Five Hands-on Experiments for a Design of Experiments Course
title_sort five hands on experiments for a design of experiments course
topic Matched Pairs
Completely Randomized
Factorial
Nested
Split Plot
url https://www.tandfonline.com/doi/10.1080/26939169.2023.2195889
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