type II error
/ˌtaɪp ˈtuː ˌerər/
failing to reject a false null hypothesis (false negative)
“Missing a real disease is a type II error in medical testing.”
Origin: Statistical terminology from Jerzy Neyman and Egon Pearson
/ˌtaɪp ˈtuː ˌerər/
failing to reject a false null hypothesis (false negative)
“Missing a real disease is a type II error in medical testing.”
Origin: Statistical terminology from Jerzy Neyman and Egon Pearson