given the information on the picture, since we have that n*p is greater than 10, we can use a normal distribution.
We have that the critical value for 99% confidence level is 2.58.
Next, we can find the Standard Error with the following expression:
![SE=\sqrt[]{(p(1-p))/(n)}](https://img.qammunity.org/2023/formulas/mathematics/college/yr53w419mp14hyuqxpyvrw6xbgcxcvv8h7.png)
in this case we have the following:
![SE=\sqrt[]{(0.6\cdot0.4)/(160)}=00387](https://img.qammunity.org/2023/formulas/mathematics/college/v23g9i6vbfazxhbwb6e0sgneodnzeo95vy.png)
then, according to the margin of error formula:

where CV is the critical value, we get:

therefore, the margin of error is 0.099 which is a 9.9% error