What is the correct description of Type I and Type II errors in hypothesis testing?

What is the correct description of Type I and Type II errors in hypothesis testing?

• A. Type I error is a false negative; Type II error is a false positive.
• B. Type I error is false positive; Type II error is false negative.
• C. Type I error is a correct rejection of the null.
• D. Type II error is a correct failure to reject the null.

Answer: (B)