Please see the second part below. I have included the answer from the first one.
NBC News/Marist sampled 603 likely voters on 10-31-14. They found that 44% said they would vote for Michelle Nunn.
We want to construct a 95% confidence interval to estimate the true proportion of likely voters who will vote for Nunn.
What is the confidence interval?
- 0.4796 < p=""><>
- 0.5192 < p=""><>
- 0.3608 < p=""><>
- 0.4004 < p="">< 0.4796--------="" this="" is="" the="">
Interpret your confidence interval in context of the problem.
A
If many random samples of 603 voters were taken, 95% of the resulting confidence intervals would contain the value 44%.
B
We are 95% confident that the sample proportion of voters who will vote for Michelle Nunn is between 0.4004 and 0.4796.
C
We are 95% confident that 44% of voters will vote for Michelle Nunn.
D
We are 95% confident that the true percent of voters who will vote for Michelle Nunn is between 40.04% and 47.96%.
E
It is probably true that 44% of all likely votes will vote for Nunn.
F
We don't know exactly what proportion of likely voters will vote for Nunn, but we know it's within the interval 40.04% and 47.96%.
G
44% of all likely voters will vote for Nunn.
H
If we were to select many random samples of 603 voters, 95% of them would produce the interval (40.04,47.96).