Type I error: Type I error refers to rejecting a true null hypothesis. It means concluding something is statistically significant when it actually isn't.
Sensitivity: Sensitivity is the ability of a test to correctly identify individuals who have the condition or attribute being tested for.
Specificity: Specificity is the ability of a test to correctly identify individuals who do not have the condition or attribute being tested for.