type II error

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a defect or mistake in structure or function.
inborn error of metabolism a genetically determined biochemical disorder in which a specific enzyme defect produces a metabolic block that may have pathologic consequences at birth, as in phenylketonuria, or in later life.
measurement error the difference between what exists in reality and what is measured by a measurement method.
Type I error the rejection of a null hypothesis that is true.
Type II error acceptance of a null hypothesis that is false.

er·ror of the sec·ond kind

in a Neyman-Pearson test of a statistical hypothesis, the probability of accepting the null hypothesis when it is false; the complement of the power of the test.

type II error

in a test of a statistical hypothesis, the probability of accepting the null hypothesis when it is false and should be rejected. Also called beta error, error of the second kind.

type II error

β error, false-negative error Statistics Acceptance of the null hypothesis when it is false or incorrect, or the error of falsely stating that two proportions are not significantly different when they actually are. See Null hypothesis Cf Type 1 error.
References in periodicals archive ?
To estimate the type II error rate, n = 10,000 independent and identically Poi([lambda].
Finally, our analysis suggests a real need to more carefully consider tradeoffs between Type I and Type II error in this litigation setting.
The type II error rate is the probability of the algorithm not labeling the receiving leg as part of a fed funds loan conditional on the receiving leg being part of a fed funds loan.
Whether these trends are true changes in disease incidence or artifacts of changing reporting or diagnostic practices, anything that causes disease counts in the baseline period to be systematically higher than current disease counts increases type II errors, and anything that causes baseline disease counts to be systematically lower than current disease counts increases type I errors.
If policymakers are more concerned with Type II errors (false negatives), then an appropriate policy prescription appeals to higher levels of significance as the relevant thresholds.
For crisis type II error (weakening when unjustified), the tendency of the leading statistics to reflect an emerging crisis rather slowly makes this type of error fairly likely for our rule-bound suggested approach.
Analytical results demonstrate that the prediction models by hybrid learning techniques perform better than any single classification technique in terms of prediction accuracy and the Type II error.
This potentially resulted in 40 analyses (18% of all analyses in this study) that were a result of Type II error.
05) and no more than a 1 in 5 chance of making a type II error ([beta] = 20%; power = 80%, 1-[beta]).
As for the ecological approach, when policymakers decide not to act and are wrong, they locate in the lower left quadrant (III), representing a Type II error.
Panel B of Table 4 contains the within-sample Type I error rates for various levels of Type II error rates corresponding to the predictions from the logistic regressions.