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StatisticsIntermediate

Type I Error

Definition

A false positive: incorrectly rejecting a true null hypothesis, concluding that an effect exists when it does not. The probability of a Type I error is denoted by alpha (usually set at 0.05).

Example

Concluding that a drug is effective when the observed improvement was actually due to chance is a Type I error.

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Related Terms

Type II ErrorP-valueStatistical SignificanceHypothesis

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Last updated: March 2026

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