Final answer:
The power of the test is 0.96, indicating a high likelihood of correctly rejecting the null hypothesis when it is false.
Step-by-step explanation:
The power of the test is 0.96, which means that there is a 96% chance of correctly rejecting the null hypothesis when it is false. In this case, the null hypothesis is that the proportion of drug users who experience abdominal pain is equal to or less than 8%. The alternative hypothesis is that the proportion is greater than 8%.
With a power of 0.96, it is highly likely that if the true proportion of users who experience abdominal pain is indeed 16% (0.16), the test will correctly identify this and reject the null hypothesis. This implies that there is strong evidence to support the claim that more than 8% of the drug users experience abdominal pain.