To find the margin of error \( E \), we use the formula:
\[
E = Z \times \frac{s}{\sqrt{n}}
\]
Given that the Z-score for a 95% confidence level is \( Z = 2.0 \), the sample standard deviation \( s = 695.5 \, \text{g} \), and the sample size \( n = 36 \):
\[
E = 2.0 \times \frac{695.5}{\sqrt{36}} = 227.2 \, \text{g}
\]
Thus, the margin of error is:
\[
\boxed{E = 227.2 \, \text{g}}
\]
The confidence interval for the population mean \( \mu \) is calculated using the formula:
\[
\bar{x} \pm Z \times \frac{s}{\sqrt{n}}
\]
Substituting the values:
\[
3150.0 \pm 2.0 \times \frac{695.5}{\sqrt{36}} = 3150.0 \pm 227.2
\]
Calculating the lower and upper bounds:
\[
\text{Lower Bound} = 3150.0 - 227.2 = 2922.8 \, \text{g}
\]
\[
\text{Upper Bound} = 3150.0 + 227.2 = 3377.2 \, \text{g}
\]
Thus, the confidence interval is:
\[
\boxed{2922.8 \, \text{g} < \mu < 3377.2 \, \text{g}}
\]
The correct interpretation of the confidence interval is:
C. One has \( 95\% \) confidence that the interval from the lower bound to the upper bound contains the true value of the population mean weight of newborn girls.
- Margin of Error: \( \boxed{E = 227.2 \, \text{g}} \)
- Confidence Interval: \( \boxed{2922.8 \, \text{g} < \mu < 3377.2 \, \text{g}} \)
- Interpretation: The answer is C.