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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Format: | Article |
Language: | English |
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Taylor & Francis Group
2023-09-01
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Series: | Journal of Statistics and Data Science Education |
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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 |
collection | DOAJ |
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. |
first_indexed | 2024-03-11T10:24:54Z |
format | Article |
id | doaj.art-ac938d70eec14da3acc4ab295aaf9376 |
institution | Directory Open Access Journal |
issn | 2693-9169 |
language | English |
last_indexed | 2024-03-11T10:24:54Z |
publishDate | 2023-09-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Journal of Statistics and Data Science Education |
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 |
work_keys_str_mv | AT victoriawoodard fivehandsonexperimentsforadesignofexperimentscourse |