Answer:
At sample size of 752 is needed.
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:

90% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
What size of sample is needed?
A sample size of n is needed.
n is found when M = 0.03.
We do not have a estimate for the true proportion, so we use
, which is when we are going to need the largest sample size.






Rounding up
At sample size of 752 is needed.