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Preferred term

type II errors  

Definition

  • In inferential statistics, we state a null and alternative hypothesis, gather data, and compute statistics to decide whether to accept or reject the null hypothesis. Because we compute statistics on a sample in order to make decisions about a population whose parameters are unknown, there is always some probability that our decision will be incorrect. [Source: Encyclopedia of Global Health; Beta Error]

Entry terms

  • beta errors

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URI

https://concepts.sagepub.com/social-science/concept/type_II_errors

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