Type 1 Error
Type 1 Error, also known as a "false positive," occurs in hypothesis testing when a true null hypothesis is incorrectly rejected. It represents a false alarm, concluding that there is an effect or a difference when in fact there isn't.
Understanding Type 1 Error
For example, in medical testing, a Type 1 Error would occur if a test incorrectly indicates that a person has a disease when they do not. The significance level (α) in a statistical test is the probability of making a Type 1 Error.
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