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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...
Autor principal: | |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
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 |
Sumario: | 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. |
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