Using the z-distribution, it is found that the margin of error for the 95% confidence interval is of 0.0889.
<h3>What is a confidence interval of proportions?</h3>
A confidence interval of proportions is given by:

In which:
is the sample proportion.
The margin of error is given by:

In this problem, we have a 95% confidence level, hence
, z is the value of Z that has a p-value of
, so the critical value is z = 1.96.
The estimate and the sample size are given as follows:

Hence, the margin of error is:


M = 0.0889.
More can be learned about the z-distribution at brainly.com/question/25890103
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