Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Madan, Christopher R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
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
Descripción
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.