Step-by-step explanation
We have that the mean is 95/500 = 0.19
Then, the standard error is as follows:
![SE=\sqrt[]{((0.19\cdot(1-0.19))/(500))}=0.017](https://img.qammunity.org/2023/formulas/mathematics/college/9540krf63ykmnu35znqb9jwhu9c14wznws.png)
Now, the value of alpha is as follows:

The critical probability(p*) is as follows:

Now, we need to find the z-score by assuming a normal distribution, we can use the z-score table:
z=0.8340
Next, the margin of error is as follows:
ME = 0.8340 * 0.017 = 0.0142
The confidence interval is 0.19 + or - 0.0142
0.176 < p < 0.204