| type II error |
Also known as "false negative" or "beta error." An incorrect judgement or conclusion that occurs when no association is found between variables where in fact, an association does exist. In a medical screening, for example, a negative test result may occur by chance in a subject who possesses the attribute for which the test is conducted.
출처: www.utmem.edu/CENTER/cgi/htmlos.cgi/004579.71.1265...
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| type II error |
accepting the null hypothesis when it is false.
출처: www.socialresearchmethods.net/tutorial/Colosi/lcol...
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| type II error |
acceptance of the null hypothesis when it should be rejected.
출처: hudsonmediaresearch.com/glossary_of_research_terms...
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