We will use model assumptions A and B to simulate cancer counts in 10,000 “neighborhoods,” each with 325 × 3.5 = 1138 persons who have lived in the neighborhood an average of 25 years and experience a cancer incidence rate of 326 cases per 100,000 people in a year. Using the technology instructions pro-vided on the CD, perform the simulation of cancer counts in 10,000 neighborhoods as described above. Draw a histogram of the cancer counts for the 10,000 simulated neighborhoods and assess graphically and numerically how unusual it is to observe at least 67 cases of cancer. Estimate a p-value for the test that the rate of cases is higher for the Randolph neighborhood than for the rest of the nation.