Final answer:
The expected mean of the sampling distribution is $59,040 and the standard deviation of the sampling distribution is approximately $1,186.37.
Step-by-step explanation:
To find the expected mean of the sampling distribution, we use the fact that the mean of the sampling distribution is equal to the mean of the population, which is $59,040. Therefore, the expected mean of the sampling distribution is µx = $59,040.
To find the standard deviation of the sampling distribution, we use the fact that the standard deviation of the sampling distribution is equal to the standard deviation of the population divided by the square root of the sample size. The standard deviation of the sampling distribution is given by the formula:
δx = σ / √n, where σ is the standard deviation of the population and n is the sample size. Plugging in the values, we get:
δx = $14,530 / √150 ≈ $1,186.37.