| type I error |
A Type I error occurs when we reject the null hypothesis when it should be accepted.
출처: www.cs.wpi.edu/~gpollice/cs562-s03/ExamDefinitions...
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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 I error |
The researcher's data-based decision that the null hypothesis is false when it is really true. This incorrect conclusion is not the result of a mistake in the analysis. By chance, a
출처: instructional1.calstatela.edu/dweiss/Psy302/Glossa...
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