Let \( X \) be the weight in pounds of a newborn elephant, and let \( \bar{X} \) be the sample mean of the weights of the 50 baby elephants.
To calculate the margin of error for the mean weight of newborn elephant calves at a \( 95\% \) confidence level, we use the formula:
\[ \text{Margin of Error} = Z \cdot \frac{\sigma}{\sqrt{n}} \]
Where:
Substituting the values:
\[ \text{Margin of Error} = 1.96 \cdot \frac{15}{\sqrt{50}} \approx 4.1577 \]
The confidence interval for the mean is given by:
\[ \bar{x} \pm Z \cdot \frac{\sigma}{\sqrt{n}} \]
Substituting the known values:
\[ 244 \pm 1.96 \cdot \frac{15}{\sqrt{50}} \implies (244 - 4.1577, 244 + 4.1577) \implies (239.84, 248.16) \]
The \( 95\% \) confidence interval for the mean weight of newborn elephant calves is
\[ \boxed{(239.84, 248.16)} \]
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