Type I error in medical testing involves wrongly diagnosing a patient with a condition they do not have, potentially leading to unnecessary actions or stress.
Type I error in the context of medical testing refers to incorrectly rejecting a true null hypothesis. In the scenario given, it would mean wrongly diagnosing the patient as having a blood-borne illness when they actually do not. This error could lead to unnecessary treatments or psychological stress for the patient.
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