Reference no: EM132870324

Office occupancy in a city is an indication of the economic health of the region in which it is located. A random sample of offices in two cities was? selected, and the number of vacancies was recorded. The data are linked below. Construct a 90?% confidence interval to estimate the difference in vacancy rates between these two cities.

City 1 City 2

x1=27 x2=15

n1=170 n2=135

The 90?% confidence interval for the difference ?(p1-p2?) is (-0.016, 0.112)

What conclusions can be? made?

A. Since the confidence interval does not include? zero, there is no evidence that the vacancy rates are different between the two cities.

B. Since the confidence interval does include? zero, there is no evidence that the vacancy rates are different between the two cities.

C. Since the confidence interval does not include? zero, there is evidence that the vacancy rates are different between the two cities.

D. Since the confidence interval does include? zero, there is evidence that the vacancy rates are different between the two cities.