type II error
Missed true effect
A type II error is a false negative—failing to detect something that is actually there.
In statistics, it means accepting a null hypothesis when it should be rejected: concluding there's no effect when one exists.
The study's small sample size increased the risk of a type II error.
Also called a beta error.
Compare type I error, the false positive.
statistics
Incorrectly absent finding
- betaGreek alphabet's second letter
- p-valueProbability under null hypothesis
- sample sizeQuantity of observations taken
- confidence intervalEstimated bounds for population parameter
consequences
Not noticed or considered
- undetectedNot discovered yet
- blind spotArea of blocked perception
- complacencyUncritical satisfaction with oneself
- underestimationJudging below actual value
missed diagnosis · oversight · neglect · inaction · quality control failure · missed opportunity
false negative
Incorrectly absent finding
- betaGreek alphabet's second letter
- p-valueProbability under null hypothesis
- sample sizeQuantity of observations taken
confidence interval · probability · sensitivity · specificity
overlooked
Not noticed or considered
- undetectedNot discovered yet
- blind spotArea of blocked perception
- complacencyUncritical satisfaction with oneself
underestimation · missed diagnosis · oversight · neglect · inaction · quality control failure · missed opportunity
- statisticsmean, median, mode, variance, standard deviation
- ML errorsoverfitting, underfitting, misclassification, false positive, false negative
- errorsmistake, blunder, blunders, fault, flaw
- uncertaintyuncertainty, uncertain, unknown, unsure, unclear
- chi-squaredegrees of freedom, cell count, cell counts
- sorting errorsmisclassification, miscategorization, misfiling, mislabeling, misfile