The 95% confidence interval for the mean is calculated using the sample mean, standard error, and the critical t-value. The formula is: $\bar{x} \pm t_{\alpha/2} \times \frac{s}{\sqrt{n}}$

Given: Sample Mean ($\bar{x}$) = USD 95,000 Standard Deviation ($s$) = USD 19,300 Number of simulations ($n$) = 1000

The standard error of the mean is: $SE = \frac{19,300}{\sqrt{1000}} = \frac{19,300}{31.62277} \approx 610.316$

For a 95% confidence level with $n - 1 = 999$ degrees of freedom, the critical t-value ($t_{0.025, 999}$) is approximately 1.962. Margin of Error = $1.962 \times 610.316 \approx 1,197.45$

Confidence interval limits: Lower Bound = $95,000 - 1,197.45 = 93,802.55$Upper Bound = `$95`,000 + 1,197.45 = 96,197.45$

The resulting 95% confidence interval is (USD 93,802.55, USD 96,197.45).