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type I error
This term is a technical designation used primarily in statistics and scientific research to describe a false positive. It occurs when a researcher incorrectly rejects a true null hypothesis, leading to the mistaken conclusion that a significant effect or relationship exists when it does not.
In practical application, the probability of committing this error is denoted by the Greek letter alpha. Because it represents a "false alarm," minimizing type I errors is critical in high-stakes environments, such as medical trials, where claiming a drug is effective when it is not could lead to dangerous clinical decisions.
Meanings
An error in statistical hypothesis testing where a null hypothesis is rejected when it is actually true, resulting in a false positive.
The researcher committed a type I error by concluding the drug was effective when the results were actually due to chance.