Which statement correctly distinguishes Type I and Type II errors in hypothesis testing?

• A. Type I error occurs when you conclude an effect exists when it does not.
• B. Type II error occurs when you correctly reject the null.
• C. Type I error is a false positive; Type II error is a false negative.
• D. Type I error is a false negative; Type II error is a false negative.

Answer: (D)