type I error
/ˌtaɪp ˈwʌn ˌerər/
incorrectly rejecting a true null hypothesis (false positive)
“Convicting an innocent person is analogous to a type I error.”
Origin: Statistical terminology from Jerzy Neyman and Egon Pearson
/ˌtaɪp ˈwʌn ˌerər/
incorrectly rejecting a true null hypothesis (false positive)
“Convicting an innocent person is analogous to a type I error.”
Origin: Statistical terminology from Jerzy Neyman and Egon Pearson