Answer:
a) 96% CI:
![0.51\leq\pi\leq 0.63](https://img.qammunity.org/2020/formulas/mathematics/college/an8q9lpyo5tkq0e0mo7exs1hemcju783qk.png)
b) If we estimate that the fraction of voters is 0.57, we can claim with 96% confidence that the error is equal or less than 0.06 from the estimated proportion.
Explanation:
The proportion of the sample is
![p=(114)/(200)=0.57](https://img.qammunity.org/2020/formulas/mathematics/college/xvl57tlg1ia5sqw0b7oeawlg0d9fhw7fk0.png)
The standard deviation of the sample proportion is
![\sigma=\sqrt{(p(1-p))/(n) } =\sqrt{(0.57(1-0.57))/(200) } =\sqrt{(0.2451)/(200) } =0.035](https://img.qammunity.org/2020/formulas/mathematics/college/yqff6n3qkvz9pllnaugf2mxobwd4bgq6q0.png)
For a 96% CI, the z-value is z=1.751.
Then, the 96% CI can be written as:
![p-z\cdot \sigma\leq\pi\leq p+z\cdot \sigma\\\\0.57-1.751*0.035\leq\pi\leq 0.57+1.751*0.035\\\\0.57-0.06\leq\pi\leq 0.57+0.06\\\\0.51\leq\pi\leq 0.63](https://img.qammunity.org/2020/formulas/mathematics/college/538oof3u1avxmh9ey8jymwe1ioqfc3yu25.png)
b) If we estimate that the fraction of voters is 0.57, we can claim with 96% confidence that the error is equal or less than 0.06 from the estimated proportion.