High Quality Content by WIKIPEDIA articles! In statistics, the terms type I error (also, ? error, false alarm rate (FAR) or false positive) and type II error (? error, or a false negative) are used to describe possible errors made in a statistical decision process. In 1928, Jerzy Neyman (1894-1981) and Egon Pearson (1895-1980), both eminent statisticians, discussed the problems associated with "deciding whether or not a particular sample may be judged as likely to have been randomly drawn from a certain population" (1928/1967, p.1), and identified "two sources of error".

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