Just part e and part f

9. We will now consider the Boston housing data setI from the mass library. {a} Based on this data set. provide an estimate for the population mean of medv. l[hall this estimate it. {b} Provide an estimate of the standard error of it. Interpret this result. Hint: We can compote the standard error of the sample mean by dividing the sample standard deviation by the sonare root of the number of observations. {c} Now estimate the standard error of in: using the bootstrap. How does this compare to your answer from (b)? (d) Based on your bootstrap estimate from (c), provide a 95 '96 con- dence interval for the mean of medv. Compare it to the results obtained using 1: .test {Bostoniimedv}. Hint: Yon can approximate a 95 95 condence interval nsing the fans-sis [a was). i + 23am]- (e) Based on this data set, provide an estimate, lmed, for the median value of mean: in the population. {1'} We now would like to estimate the standard error of fimed. Unfor tunately. there is no simple formula for computing the standard error of the median. Instead. estimate the standard error of the median using the bootstrap. Comment on your ndings. If! n 'I I11 'I . I PI .1 . i&quot