Answer:
B. 0.3 and 0.022
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a sample proportion p in a sample of size n, the standard error is [tex]s = \sqrt{\frac{p(1-p)}{n}}[/tex]
135 of the 450 residents sampled live within one mile of a hazardous waste site.
So the sample proportion is [tex]p = \frac{135}{450} = 0.3[/tex]
Standard error
[tex]s = \sqrt{\frac{0.3*0.7}{450}} = 0.022[/tex]
So the correct answer is:
B. 0.3 and 0.022