Notice that the probability of an error is a conditional probability (conditiona

Question

Notice that the probability of an error is a conditional probability (conditional on the null hypothesis being true for Type I, conditional on the null hypothesis being false for Type II). That means the probability of an error in diagnostic testing is related to the sensitivity and specificity of a test. What are those relationships? Select ALL that apply.

Sensitivity + Probability of a Type I Error = 1

Specificity + Probability of a Type II Error = 1

Sensitivity + Probability of a Type II Error = 1

Specificity + Probability of a Type I Error = 1

Sensitivity + Probability of a Type I Error = 1

Specificity + Probability of a Type II Error = 1

Sensitivity + Probability of a Type II Error = 1

Specificity + Probability of a Type I Error = 1

Explanation / Answer

Relation between Type I error, Type II error with sensitivity and specificity is

Sensitivity + Probability of Type II error =1

Specificity + Probability of type I error = 1

Related Questions

Navigate

• Browse (All)
• Browse N
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.