Answer:
.0166
Step-by-step explanation:
Central Limit Theorem for proportions:
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean [tex]\mu = p[/tex] and standard deviation [tex]\sigma_{p} = \sqrt{\frac{p(1-p)}{n}}[/tex]
In this question:
[tex]n = 900, p = 0.55[/tex]
What is σρˆ?
The standard deviation of the sample proportion, which is:
[tex]\sigma_{p} = \sqrt{\frac{0.55*0.45}{900}} = 0.0166[/tex]