| type II error |
In statistics the accepting of a false hypothesis.
출처: helios.bto.ed.ac.uk/bto/glossary/tuvwxyz.htm
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| type II error |
The failure to reject a false hypothesis.
출처: www.bridgefieldgroup.com/glos9.htm
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| type II error |
The error made when a false null hypothesis is not rejected.
출처: www.measurementexperts.org/instrument/term_pocket_...
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| type II error |
In a hypothesis test, a Type II error occurs when the null hypothesis is not rejected when it is, in fact, false. For example, in a clinical trial of a new drug, the null hypothesis might be that the new drug is no better, on average, than the current drug. A Type II error would occur if it were concluded that the two drugs produced the same effect when, in fact, they produced different ones. Contrast with Type I error.
출처: www.etr.org/recapp/research/researchglossary.htm
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| type II error |
An error of statistical inference when the null hypothesis is retained when it is false. This is an error of "not seeing enough in the data."
출처: psy.st-andrews.ac.uk/resources/glossary.shtml
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