Bringing Visual Inference to the Classroom
In the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions. The lineup protocol for visual inference is a recent development in statistical graphics that has creat...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-08-01
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| Series: | Journal of Statistics and Data Science Education |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/26939169.2021.1920866 |
| _version_ | 1818972104095170560 |
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| author | Adam Loy |
| author_facet | Adam Loy |
| author_sort | Adam Loy |
| collection | DOAJ |
| description | In the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions. The lineup protocol for visual inference is a recent development in statistical graphics that has created an opportunity to build student understanding. Lineups are created by embedding plots of observed data into a field of null (noise) plots. This arrangement facilitates comparison and helps build student intuition about the difference between signal and noise. Lineups can be used to visualize randomization/permutation tests, diagnose models, and even conduct valid inference when distributional assumptions break down. This article provides an overview of how the lineup protocol for visual inference can be used to build understanding of key statistical topics throughout the statistics curriculum. Supplementary materials for this article are available online. |
| first_indexed | 2024-12-20T15:02:57Z |
| format | Article |
| id | doaj.art-f0216b5934eb487fb262001da0148a17 |
| institution | Directory Open Access Journal |
| issn | 2693-9169 |
| language | English |
| last_indexed | 2024-12-20T15:02:57Z |
| publishDate | 2021-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Statistics and Data Science Education |
| spelling | doaj.art-f0216b5934eb487fb262001da0148a172022-12-21T19:36:37ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692021-08-0129217118210.1080/26939169.2021.19208661920866Bringing Visual Inference to the ClassroomAdam Loy0Department of Mathematics and Statistics, Carleton CollegeIn the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions. The lineup protocol for visual inference is a recent development in statistical graphics that has created an opportunity to build student understanding. Lineups are created by embedding plots of observed data into a field of null (noise) plots. This arrangement facilitates comparison and helps build student intuition about the difference between signal and noise. Lineups can be used to visualize randomization/permutation tests, diagnose models, and even conduct valid inference when distributional assumptions break down. This article provides an overview of how the lineup protocol for visual inference can be used to build understanding of key statistical topics throughout the statistics curriculum. Supplementary materials for this article are available online.http://dx.doi.org/10.1080/26939169.2021.1920866introductory statisticslineup protocolmodel diagnosticssimulation-based inferencestatistical graphicsvisualizing uncertainty |
| spellingShingle | Adam Loy Bringing Visual Inference to the Classroom Journal of Statistics and Data Science Education introductory statistics lineup protocol model diagnostics simulation-based inference statistical graphics visualizing uncertainty |
| title | Bringing Visual Inference to the Classroom |
| title_full | Bringing Visual Inference to the Classroom |
| title_fullStr | Bringing Visual Inference to the Classroom |
| title_full_unstemmed | Bringing Visual Inference to the Classroom |
| title_short | Bringing Visual Inference to the Classroom |
| title_sort | bringing visual inference to the classroom |
| topic | introductory statistics lineup protocol model diagnostics simulation-based inference statistical graphics visualizing uncertainty |
| url | http://dx.doi.org/10.1080/26939169.2021.1920866 |
| work_keys_str_mv | AT adamloy bringingvisualinferencetotheclassroom |