A doctor in Baltimore wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 7% level of significance to test whether the average life span of heart disease patients in Baltimore differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 12.4, 17.5, 20, 0.1, 1.7, 21.5, 10.8,72 20.4, 11.5, 8.3, 3.7, 3.1, 3.7, 9.7, 13.2, 11.6, 14.8, 1.2, 5.6, 8.8, 6.2, 7.7, 8.5, 19.5, 2.4, 3.1, 8.3, 8.3, 26.3, 6.3, 16.1 Life Span of Patients Treated at Hospital 2: 9.4, 3.2, 6.4, 8.4, 18.7, 5.5, 21.7, 21.4, 6.5, 6.4, 14.2, 4.3, 16.6, 8.1, 7.5, 3.8, 19.9, 1.1, 1.6, 16.2, 16.6, 4, 11.9, 27.7, 24.9, 0.5, 9.1, 14.7, 8.4, 14.9, 18.1 Life Span of Patients Treated at Hospital 3: 35, 13.7, 3.8, 14.2, 5.7, 15.4, 21.6, 0, 11.9, 7.1, 6.4, 5.4, 17.9, 18.6, 14.3, 4, 10.5, 2.4, 2.5, 6.9, 7.8, 8.4, 11.3 Life Span of Patients Treated at Hospital 4: 9.1, 0.1, 8.9, 0.8, 10.9, 14.5, 6.5, 19.1, 2.9, 11.2, 9.4, 21.7, 19.8, 6.3, 8.6, 20.4, 8.4, 4, 13.1, 20.9, 13.8, 19.5, 16.6, 2.7, 28.5, 19, 13.7, 8.8, 5.3, 16, 8.4, 0.2, 8.9, 4.7, 7.7 Step 1: State the null and alternative hypotheses. Ho: P1 = P2 = H3 = Ha Ha: At least one mean isn't equal to the other means V Part 2 of 4 Step 2: Assuming the null hypothesis is true, determine the features of the distribution of test statistics. We will use a(n) F v distribution with numerator degrees of freedom %3D 117 d fpetween and denominator degrees of freedom dfwithin = 3 Part 3 of 4