Answer:
5) Fail to reject the null hypothesis.
Step-by-step explanation:
When we do a hypothesis test we usually compare the P-value with alpha, not with beta.
Alpha is the probability of rejecting a true null hypothesis, so if we are using alpha as a reference, it is because we start the test assuming that the null hypothesis is true.
In this case, the P-value is greater than alpha. This means that there is not enough evidence to conclude that the null hypothesis is false. We fail to reject the null hypothesis and we continue assuming that the null hypothesis is true.
