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STATISTICAL BRIEFING: TYPE 1 AND TYPE 2 ERRORS
Author(s) -
LAMB CHRISTOPHER R.
Publication year - 2009
Publication title -
veterinary radiology and ultrasound
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.541
H-Index - 60
eISSN - 1740-8261
pISSN - 1058-8183
DOI - 10.1111/j.1740-8261.2009.01524.x
Subject(s) - medicine , reprint , type (biology) , library science , citation , computer science , biology , ecology , physics , astronomy
WHEN CONSIDERING THE possibility that there is a difference between two or more groups, the alternative hypothesis states that there is a difference and the null hypothesis states that there is no difference. Statistical tests generally produce results stating the likelihood that the null hypothesis is true. Depending on the results of our tests, we may decide to retain or reject the null hypothesis, and any result that enables us to reject it represents evidence for the alternative hypothesis. Just as there are four possible outcomes (true positive, false positive, true negative, false negative) when using a diagnostic test, there are four possible outcomes of hypothesis testing: