To solve this problem we use the following formula:
[tex]p\pm z\cdot\sqrt{\frac{p(1-p)}{n}}[/tex]
Where:
p: proportion of the population
n: sample
z: This is the value given by the % of confidence and the normal distribution
First, we identify the variables of the problem:
n = 523
d = 141
alpha = (1-%confidence)/2
Second, we find the values of p and z:
[tex]\begin{gathered} p=\frac{d}{n}=\frac{141}{523} \\ \\ 1-p=\frac{382}{523} \end{gathered}[/tex]
And for Z, we find the value of B such that:
[tex]P(ZUsing excel, we can see that
B = 1.96
Finally, we replace these values with the formula:
[tex]\frac{141}{523}\pm1.96\sqrt{\frac{141}{523}\cdot\frac{382}{523}\frac{1}{523}}[/tex]
As result, we get that:
[tex]0.270\pm0.038[/tex]
And the inferior limit is equal to 0.232 and the superior limit is equal to 0.308