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Concept information

Preferred term

type I and type II errors  

Definition(s)

  • Type I and Type II errors are two types of errors that may result when making inferences from results calculated on a study sample to the population from which the sample was drawn. They refer to discrepancies between the acceptance or rejection of a null hypothesis, based on sample data, as compared with the acceptance or rejection that reflects the true nature of the population data. [Source: Encyclopedia of Epidemiology; Type I and Type II Errors]

Belongs to group

URI

http://data.loterre.fr/ark:/67375/N9J-KR283MDB-4

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