To find the sample mean and the margin of error, we start by identifying the boundaries of the 95% confidence interval given as greater than 100 and less than 300. These are the endpoints of the interval which can be represented as [100, 300].
The sample mean \(\bar{x}\) is the midpoint of the confidence interval. It is calculated using the formula:
\[ \bar{x} = \frac{\text{Lower Bound} + \text{Upper Bound}}{2} \]
Substituting the given bounds:
\[ \bar{x} = \frac{100 + 300}{2} = \frac{400}{2} = 200 \]
The margin of error (E) is the difference between the sample mean and either endpoint of the confidence interval. It can be calculated as:
\[ E = \text{Upper Bound} - \bar{x} \]
or equivalently:
\[ E = \bar{x} - \text{Lower Bound} \]
Using the sample mean:
\[ E = 300 - 200 = 100 \]
So, the sample mean \(\bar{x}\) is 200 and the margin of error E is ±100.