Answer:
b. We can be 95% confident that the proportion of all nicotine patch users who would report no smoking incidents in the following year is between 17.4% and 24.8%.
Explanation:
The confidence interval is an estimation for the true population parameter, calculated from the information of a sample of this population.
The parameter of the population will be within this interval with a certain degree of confidence.
a. There is a 95% probability that the proportion of all nicotine patch users who would report no smoking incidents in the following year is between 17.4% and 24.8%.
Incorrect. The confidence interval gives only the probability that the true proportion (or population proportion) is within 17.4% and 24.8%, not the proportion of individual samples.
b. We can be 95% confident that the proportion of all nicotine patch users who would report no smoking incidents in the following year is between 17.4% and 24.8%.
Correct.
c. We can be 95% confident that the proportion of the sample who would report no smoking incidents in the following year is between 17.4% and 24.8%.
Incorrect. The confidence interval does not give information about another samples.
d. 95% of samples will have between 17.4% and 24.8% who would report no smoking incidents in the following year.
Incorrect. The confidence interval does not give information about another samples or sampling distributions.