To calculate the margin of error \( E \) at a 95% confidence level, we use the formula:
\[
E = \frac{Z \times \sigma}{\sqrt{n}}
\]
where \( Z = 1.96 \) (Z-Score for 95% confidence), \( \sigma = 4.7 \) (sample standard deviation), and \( n = 16 \) (sample size).
Substituting the values, we have:
\[
E = \frac{1.96 \times 4.7}{\sqrt{16}} = 2.303
\]
The lower bound of the confidence interval is calculated as:
\[
\text{Lower Bound} = \bar{x} - E
\]
where \( \bar{x} = 19.1 \) (sample mean). Thus,
\[
\text{Lower Bound} = 19.1 - 2.303 = 16.797
\]
For the 99% confidence level, we again use the margin of error formula:
\[
E = \frac{Z \times \sigma}{\sqrt{n}}
\]
where \( Z = 2.5758 \) (Z-Score for 99% confidence). Substituting the values, we have:
\[
E = \frac{2.5758 \times 4.7}{\sqrt{16}} = 3.0266
\]
The lower bound for the 99% confidence interval is calculated as:
\[
\text{Lower Bound} = \bar{x} - E
\]
Thus,
\[
\text{Lower Bound} = 19.1 - 3.0266 = 16.0734
\]
Comparing the margins of error at the two confidence levels, we find:
- Margin of Error at 95% confidence level: \( 2.303 \)
- Margin of Error at 99% confidence level: \( 3.0266 \)
Since \( 3.0266 > 2.303 \), we conclude that:
\[
\text{C. The margin of error increases.}
\]
Lower bound: \( \boxed{16.80} \)
Upper bound: \( \boxed{21.27} \)
The correct answer is C.
The correct answer is B.