type II error
/ˌtaɪp ˈtuː ˌerər/
failing to reject a false null hypothesis (false negative)
type II error in a sentence
“Missing a real disease is a type II error in medical testing.”
Origin of type II error
Statistical terminology from Jerzy Neyman and Egon Pearson
Related Words
sample
a subset of a population selected for analysis
bias
systematic error that skews results in a particular direction
hypothesis testing
a procedure for deciding between competing claims about a population
null hypothesis
the default assumption that there is no effect or difference
p-value
the probability of observing results as extreme as the data, assuming the null hypothesis
confidence interval
a range of values likely to contain the true population parameter