Answer:
![\hat p \sim N (p , \sqrt{(p(1-p))/(n)})](https://img.qammunity.org/2021/formulas/mathematics/college/p5u05dyn5uaa7re948i4p5iwr5taxmxopk.png)
The mean is given by:
![\mu_(\hat p) = 0.55](https://img.qammunity.org/2021/formulas/mathematics/college/kfj9l3ddtmnxjn803rp19bmwj61b3zyygz.png)
And the deviation:
![\sigma_(\hat p) =\sqrt{(0.55*(1-0.55))/(953)}= 0.0161](https://img.qammunity.org/2021/formulas/mathematics/college/dn9yy8yyb6zu0x4w5xyxrvanvf70jz1m2a.png)
Explanation:
For this case we assume that the true population proportion of Americans do not know that GOP stands for Grand Old Party is 0.55 and we select a random sample of n = 953 americans
For this case we assume that we satisfy the conditions to use the normal approximation for
1) np >10 , n(1-p)>10
2) Independence
3) Random sample
4) The sample size is less than 10% of the population size
We assume that all the conditions are satisfied and the distribution for
would be:
![\hat p \sim N (p , \sqrt{(p(1-p))/(n)})](https://img.qammunity.org/2021/formulas/mathematics/college/p5u05dyn5uaa7re948i4p5iwr5taxmxopk.png)
The mean is given by:
![\mu_(\hat p) = 0.55](https://img.qammunity.org/2021/formulas/mathematics/college/kfj9l3ddtmnxjn803rp19bmwj61b3zyygz.png)
And the deviation:
![\sigma_(\hat p) =\sqrt{(0.55*(1-0.55))/(953)}= 0.0161](https://img.qammunity.org/2021/formulas/mathematics/college/dn9yy8yyb6zu0x4w5xyxrvanvf70jz1m2a.png)