Answer
a. True
Step-by-step explanation:
Based on this survey we estimate that about [tex]18.3\%[/tex] of the college students smokes. And a [tex]98\%[/tex] confidence interval is [tex][15.1\% ; 21.6\%][/tex]. So we know that [tex][/tex] our estimative for the smoking rate is in the confidence interval with [tex]98\%[/tex] certainty. We also know the estimative for the smoking rate in the general population is [tex]27\%[/tex]. So we can write the two possible hypothesis:
[tex]H_0 =[/tex] Smoking rate is equal to [tex]27\%[/tex].
[tex]H_1 =[/tex] Smoking rate is not equal to [tex]27\%[/tex].
We will reject the null hypothesis [tex](H_0)[/tex] if the estimate doesn't fall into the confidence interval for the college students smoking rate.
Since this condition holds we reject the null hypothesis. So with [tex]98\%[/tex] certainty we say that the smoking rate for the general population is different than the smoking rate for the college students.