So far, we have only focused on estimating the mean living area in homes in ames. # now you'll try to estimate the mean home price. # .take a random sample of size 50 from price . using this sample, what is your # best point estimate of the population mean? # # .since you have access to the population, simulate the sampling distribution # for $\bar{x}_{price}$ price (sampling mean of price ) by taking 5000 samples from # the population of size 50 and computing 5000 sample means. # store these means in a vector called sample_means50 . plot the data, # then describe the shape of this sampling distribution. # based on this sampling distribution, what would you guess the mean home price of # the population to be? finally, calculate and report the population mean.