type I error
Mistaken rejection, statistics
A type I error is a false positive—rejecting something true.
In statistics, it means concluding an effect exists when it doesn't, like a medical test detecting a disease the patient doesn't have.
The term pairs with type II error (false negative).
The study's type I error rate was set at five percent.
detection
Erroneous warning signal
- false positiveIncorrect presence indication
- artifactHuman-made historical object
- misclassificationErroneous categorical assignment
- sensitivityResponsiveness to stimuli
statistics
Incorrect presence indication
- alphaFirst Greek letter
- null hypothesisAssumed no relationship exists
- p-valueProbability under null hypothesis
- rejectionDenial of acceptance
confidence interval · hypothesis testing · ANOVA · t-test · chi-square
research
Preference for significant results
- sample sizeQuantity of observations taken
- statistical significanceUnlikely due to chance
- reproducibilityAbility to repeat findings
- preregistrationSigning up before official enrollment
false alarm
Erroneous warning signal
- false positiveIncorrect presence indication
- artifactHuman-made historical object
- misclassificationErroneous categorical assignment
false positive
Incorrect presence indication
- alphaFirst Greek letter
- null hypothesisAssumed no relationship exists
- p-valueProbability under null hypothesis
rejection · confidence interval · hypothesis testing · ANOVA · t-test · chi-square
publication bias
Preference for significant results
- sample sizeQuantity of observations taken
- statistical significanceUnlikely due to chance
- reproducibilityAbility to repeat findings
- statisticsmean, median, mode, variance, standard deviation
- false positivesfalse alarm, misdiagnosis, overdiagnosis
- 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