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Type II error

Type II error A Type II error is a mistake in significance testing where a false null hypothesis is not rejected.

A Type II error is a mistake in significance testing where a false null hypothesis is not rejected. In plain terms, it means missing a real effect or difference when one actually exists.

Also see

Sources

Drafting source: Online Statistics Education, version 2 (David M. Lane, project leader). Version 2; publisher statement snapshot 2026-10-18; SHA-256 0dcad9ee85f61f9e2bb24d26279de155ac749164ea4da2a3bffeabcf9ea471a6. “Type II Error” (type_II_error.html).
public-domain-US · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: 99ab25dafcbd9c6e1977c7928ca81403f57fac2084c9145952d03520f0be3c18

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PsychTerms (psychterms.org), CC BY 4.0, version 1. “Type II error.” Development preview.

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