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Multiple statistical tests: Lessons from a d20
Statistical analyses are often conducted with α= .05. When multiple statistical tests are conducted, this procedure needs to be adjusted to compensate for the otherwise inflated Type I error. In some instances in tabletop gaming, sometimes it is desired to roll a 20-sided die (or 'd20') tw...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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F1000Research
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902094/ https://www.ncbi.nlm.nih.gov/pubmed/27347382 http://dx.doi.org/10.12688/f1000research.8834.2 |
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author | Madan, Christopher R. |
author_facet | Madan, Christopher R. |
author_sort | Madan, Christopher R. |
collection | PubMed |
description | Statistical analyses are often conducted with α= .05. When multiple statistical tests are conducted, this procedure needs to be adjusted to compensate for the otherwise inflated Type I error. In some instances in tabletop gaming, sometimes it is desired to roll a 20-sided die (or 'd20') twice and take the greater outcome. Here I draw from probability theory and the case of a d20, where the probability of obtaining any specific outcome is (1)/ (20), to determine the probability of obtaining a specific outcome (Type-I error) at least once across repeated, independent statistical tests. |
format | Online Article Text |
id | pubmed-4902094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-49020942016-06-23 Multiple statistical tests: Lessons from a d20 Madan, Christopher R. F1000Res Research Note Statistical analyses are often conducted with α= .05. When multiple statistical tests are conducted, this procedure needs to be adjusted to compensate for the otherwise inflated Type I error. In some instances in tabletop gaming, sometimes it is desired to roll a 20-sided die (or 'd20') twice and take the greater outcome. Here I draw from probability theory and the case of a d20, where the probability of obtaining any specific outcome is (1)/ (20), to determine the probability of obtaining a specific outcome (Type-I error) at least once across repeated, independent statistical tests. F1000Research 2016-09-07 /pmc/articles/PMC4902094/ /pubmed/27347382 http://dx.doi.org/10.12688/f1000research.8834.2 Text en Copyright: © 2016 Madan CR http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Note Madan, Christopher R. Multiple statistical tests: Lessons from a d20 |
title | Multiple statistical tests: Lessons from a d20 |
title_full | Multiple statistical tests: Lessons from a d20 |
title_fullStr | Multiple statistical tests: Lessons from a d20 |
title_full_unstemmed | Multiple statistical tests: Lessons from a d20 |
title_short | Multiple statistical tests: Lessons from a d20 |
title_sort | multiple statistical tests: lessons from a d20 |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902094/ https://www.ncbi.nlm.nih.gov/pubmed/27347382 http://dx.doi.org/10.12688/f1000research.8834.2 |
work_keys_str_mv | AT madanchristopherr multiplestatisticaltestslessonsfromad20 |