Question

Which of the following is a TRUE statement about hypothesis testing?

The probability of a Type I error plus the probability of a Type II error always equals one.

The power of a test concerns its ability to detect a null hypothesis.

If there is sufficient evidence to reject a null hypothesis at the 5% level, then there is sufficient evidence to reject it at the 10% level.

Whether to use a one-sided or a two-sided test is typically decided after the data are gathered.

If a hypothesis test is conducted at the 1% level, there is a 1% chance of rejecting the null hypothesis.

Answer 1

correct option is :

If there is sufficient evidence to reject a null hypothesis at the 5% level, then there is sufficient evidence to reject it at the 10% level.