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type I error Also known as "false positive" or "alpha error." An incorrect judgment or conclusion that occurs when an association is found between variables where, in fact, no association exists. In an experiment, for example, if the experimental procedure does not really have any effect, chance or random error may cause the researcher to conclude that the experimental procedure did have an effect.
Ãâó: www.utmem.edu/CENTER/cgi/htmlos.cgi/004579.71.1265...
type I error The rejection of a correct null hypothesis. type II error: The acceptance of an incorrect null hypothesis. U
Ãâó: www.prm.nau.edu/prm447/definitions.htm
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