Answer:
The 95% confidence interval for the difference in population proportions is (0.001, 0.079).
Explanation:
The (1 - α)% confidence interval for the difference in population proportions is:
![CI=(\hat p_(1)-\hat p_(2))\pm z_(\alpha /2)*\sqrt{(\hat p_(1)(1-\hat p_(1)))/(n_(1))+(\hat p_(2)(1-\hat p_(2)))/(n_(2))}](https://img.qammunity.org/2021/formulas/mathematics/college/lvo68kr9n6nnowbq3zntg9w82rfarvsgy1.png)
The information provided is as follows:
![\hat p_(1)=0.95\\\hat p_(2)=0.91\\n_(1)=300\\n_(2)=350\\](https://img.qammunity.org/2021/formulas/mathematics/college/sue9918j1rcxea6nhxjvnawx0qeyg7h0xy.png)
The critical value of z for 95% confidence level is 1.96.
Compute the 95% confidence interval for the difference in population proportions as follows:
![CI=(\hat p_(1)-\hat p_(2))\pm z_(\alpha /2)*\sqrt{(\hat p_(1)(1-\hat p_(1)))/(n_(1))+(\hat p_(2)(1-\hat p_(2)))/(n_(2))}](https://img.qammunity.org/2021/formulas/mathematics/college/lvo68kr9n6nnowbq3zntg9w82rfarvsgy1.png)
![=(0.95-0.91)\pm 1.96*\sqrt{(0.95(1-0.95))/(300)+(0.91(1-0.91))/(350)}\\\\=0.04\pm 0.0388\\\\=(0.0012, 0.0788)\\\\\approx (0.001, 0.079)](https://img.qammunity.org/2021/formulas/mathematics/college/q7vj9bhgvnm5sq8wx8jdohun2sq0oio32f.png)
Thus, the 95% confidence interval for the difference in population proportions is (0.001, 0.079).