9.1 Type I, Type II, & Power

What does a small p-value indicate in hypothesis testing?

• The null hypothesis is likely true.

• The alternative hypothesis is likely false.

• The null hypothesis is likely false.

• The data is inconclusive.

What is a Type 1 error in hypothesis testing?

• Rejecting a true null hypothesis.

• Failing to reject a false null hypothesis.

• Rejecting a false null hypothesis.

• Failing to reject a true null hypothesis.

What is a Type 2 error in hypothesis testing?

• Rejecting a true null hypothesis.

• Rejecting a false null hypothesis.

• Failing to reject a false null hypothesis.

• Failing to reject a true null hypothesis.

What does the power of a test represent?

• The probability of rejecting a true null hypothesis.

• The probability of a Type 2 error.

• The probability of a Type 1 error.

• The probability of rejecting a false null hypothesis.

How does increasing the sample size affect the power of a test?

• It increases the probability of a Type 1 error.

• It has no effect on the power.

• It increases the power.

• It decreases the power.