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. What conclusions can be made? Click the icon to view the occupancy data. . . . . . The 90% confidence interval for the difference (P1 - P2) is (, (Round to three decimal places as needed.) X Occupancy by City City 1 City 2 X1 = 26 X2 = 11 n1 = 155 n2 = 145 Print Done