Statistics Hypothesis testing Concept
Type I and type II errors
Summary
A type I error is the rejection of a true null hypothesis, a false positive. A type II error is the failure to reject a false null hypothesis, a false negative. The node type I and type II errors gives the precise definition.
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About this page
| Tag | 03N8C8ZR4B |
|---|---|
| URI | m2://03N8C8ZR4B |
| Aliases | type-i-error, type-ii-error, false-positive, false-negative |
| Kind | concept |
| Writing | W0 stub |
| MSC | 62F03 |
| Same as |
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