stats ch 10

B is called the observed significance level.

False

If the null hypothesis is not rejected, there is strong statistical evidence that the null hypothesis is true.

False

The power of a test is the probability of failing to reject the null hypothesis.

False

A type II error is made by failing to reject a false null hypothesis.

True

All other things being equal, choosing a smaller value of a will increase the probability of making a type II error.

True

For tests of hypotheses about u, B decreases as the sample size increases if the level of significance stays the same.

True

It is customary to say that the result of a hypothesis test is statistically significant when the P-value is smaller than a.

True

Small P-values indicate that the observed sample is inconsistent with the null hypothesis.

True

The level of significance of a test is the probability of making a type I error, given that the null hypothesis is true.

True