Step 1 :Given the sample means, sample sizes, and standard deviations for both regions, we can substitute these values into the formula to calculate the confidence interval. The z-value for a 95% confidence interval is approximately 1.96.
Step 2 :First, calculate the difference between the sample means: \(\bar{x}_{1} - \bar{x}_{2} = 101860 - 85350 = 16510\).
Step 3 :Next, calculate the standard error (SE) using the formula: \(SE = z_{c} \sqrt{\frac{\sigma_{1}^{2}}{n_{1}} + \frac{\sigma_{2}^{2}}{n_{2}}} = 1.96 \sqrt{\frac{8820^{2}}{41} + \frac{8845^{2}}{35}} = 2032.89\).
Step 4 :Then, calculate the lower and upper bounds of the confidence interval using the formula: \(\bar{x}_{1} - \bar{x}_{2} \pm z_{c} \times SE\). The lower bound is \(16510 - 1.96 \times 2032.89 = 12525.54\) and the upper bound is \(16510 + 1.96 \times 2032.89 = 20494.46\).
Step 5 :Finally, round the lower and upper bounds to the nearest dollar to get \$12526 and \$20494 respectively.
Step 6 :Final Answer: The 95% confidence interval for the difference between the mean annual salaries of microbiologists from the two regions is \(\boxed{\$12526} < \mu_{1} - \mu_{2} < \boxed{\$20494}\).