Answer:
![E(\bar{x}) = 28520](https://img.qammunity.org/2020/formulas/mathematics/college/amoluzh6p62c8atjpupw9hlzxwv5ax0qym.png)
Standard error of mean = 689
Explanation:
We are given the following information in the question:
Mean, μ = $28,520
Standard Deviation, σ = $5600
Mean of sampling distribution =
![E(\bar{x}) = \mu = 28520](https://img.qammunity.org/2020/formulas/mathematics/college/xrusthx9xmg54i6ozhdblzr2zypnupbzez.png)
As per Central Limit Theorem, if the sample size is large enough, then the sampling distribution of the sample means follow approximately a normal distribution.
Sample size, n = 66
Since the sample size is large, we can use normal distribution for approximation.
Standard error of mean =
![\displaystyle(\sigma)/(√(n)) = (5600)/(√(66)) = 689.31 \approx 689](https://img.qammunity.org/2020/formulas/mathematics/college/cbb4trpe1u2j9chzbimwq31m5ftpe0e4lp.png)