Answer:
The distribution of sample proportion Americans who can order a meal in a foreign language is,
![\hat p\sim N(p,\ \sqrt{(p(1-p))/(n)})](https://img.qammunity.org/2021/formulas/mathematics/college/rj28uq72qnxcgb4h4xk1qbfj3u2pt05nek.png)
Explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:
![\mu_(\hat p)=p](https://img.qammunity.org/2021/formulas/mathematics/college/mruuwakwsspmc2v3pjp0tuu9b0iyrrfz34.png)
The standard deviation of this sampling distribution of sample proportion is:
![\sigma_(\hat p)=\sqrt{(p(1-p))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/pbpnjezz5com05nodxdjp5bgchns8g2nx6.png)
The sample size of Americans selected to disclose whether they can order a meal in a foreign language is, n = 200.
The sample selected is quite large.
The Central limit theorem can be applied to approximate the distribution of sample proportion.
The distribution of sample proportion is,
![\hat p\sim N(p,\ \sqrt{(p(1-p))/(n)})](https://img.qammunity.org/2021/formulas/mathematics/college/rj28uq72qnxcgb4h4xk1qbfj3u2pt05nek.png)