| type II error |
(beta error) An acceptance of a hypothesis when it is false. An example of Type II Error is not finding a substance present when it is present.
출처: www.atlab.com/LIMS/glossaryp-t.html
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| type II error |
Mistakenly accepting (not rejecting) the null hypothesis when it is false. The probability of making a Type II error is called beta (b). Power = 1 - b (see above). False negative conclusion. For trials the probability of ab error is usually set at 0.20 or 20% probability. A 20% chance of missing a true difference.
출처: www.musc.edu/dc/icrebm/statisticalsignificance.htm...
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| type II error |
The null hypothesis is accepted even though it is false.
출처: srmwww.gov.bc.ca/wildlife/wsi/glossary.html
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| type II error |
A Type II error occurs when we accpet the null hypothesis and we should really rejected it.
출처: www.cs.wpi.edu/~gpollice/cs562-s03/ExamDefinitions...
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| type II error |
The researcher's data-based decision that the null hypothesis is true when it is really false. While this incorrect conclusion could be the result of bad luck as in the case of a Type I Error, a more worrisome possibility is that the experiment had low power.
출처: instructional1.calstatela.edu/dweiss/Psy302/Glossa...
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