Answer:
The margin of error for a 96% confidence interval is of 0.0114 = 1.14%.
Explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of
.
The margin of error is given by:

For this problem, we have that:

96% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
Calculate the margin of error for a 96% confidence interval.



The margin of error for a 96% confidence interval is of 0.0114 = 1.14%.