Type I Error
Definition
Rejecting a true null hypothesis — a false positive. Probability equals the significance level (usually 5%).
Example
Concluding a drug works when it actually doesn't is a type I error.
Rejecting a true null hypothesis — a false positive. Probability equals the significance level (usually 5%).
Concluding a drug works when it actually doesn't is a type I error.