Answer: 0.1457
Explanation:
Let p be the population proportion.
Given: The proportion of Americans who are afraid to fly is 0.10.
i.e. p= 0.10
Sample size : n= 1100
Sample proportion of Americans who are afraid to fly =

We assume that the population is normally distributed
Now, the probability that the sample proportion is more than 0.11:
![P(\hat{p}>0.11)=P(\frac{\hat{p}-p}{\sqrt{(p(1-p))/(n)}}>\frac{0.11-0.10}{\sqrt{(0.10(0.90))/(1100)}})\\\\=P(z>(0.01)/(0.0090453))\ \ \ [\because z=\frac{\hat{p}-p}{\sqrt{(p(1-p))/(n)}} ]\\\\=P(z>1.1055)\\\\=1-P(z\leq1.055)\\\\=1-0.8543=0.1457\ \ \ [\text{using z-table}]](https://img.qammunity.org/2021/formulas/mathematics/high-school/jswhok6050ohnrsx5psf0o2efdjmoysxzw.png)
Hence, the probability that the sample proportion is more than 0.11 = 0.1457