Concept information
Preferred term
type I and type II errors
Definition
- 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]
Broader concept
Belongs to group
URI
https://concepts.sagepub.com/social-science/concept/type_I_and_type_II_errors
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