Answer:
he sampling distribution of p is normal with mean p = 0.12
the standard deviation =
![\sqrt{(p(1-p))/(n) } =\sqrt{(0.12(1-0.12))/(540) }=0.014](https://img.qammunity.org/2021/formulas/mathematics/college/8thcaov6hmbveavbsmzxv0t15tmzdo61ql.png)
Explanation:
A sampling distribution is a probability distribution obtained from a larger number of samples gotten from a specific population. It shows all the possible result that can be gotten from each sample of a population
Given that:
p = 12% = 0.12
n = 540
the sampling distribution of p is normal with mean p = 0.12
the standard deviation =
![\sqrt{(p(1-p))/(n) } =\sqrt{(0.12(1-0.12))/(540) }=0.014](https://img.qammunity.org/2021/formulas/mathematics/college/8thcaov6hmbveavbsmzxv0t15tmzdo61ql.png)
It is shown in the graph attached