In sample 1, 60 of the 100 people have blood type A. In

Last updated: 7/7/2022

In sample 1, 60 of the 100 people have blood type A. In Sample 2, 54 of the 100 people have blood type A. Find the calculated z-score used to compare proportions and interpret it. Use a confidence level of 99%. For your convenience, the formula is z = p1-p2 √(p(1-p)(1/n1 + 1/n2) The calculated z-score is -0.85, which is not less than the critical value of -2.576, so we fail to reject the null hypothesis. The calculated z-score is -0.85, which is not less than the critical value of -2.576, so we reject the null hypothesis. The calculated z-score is 0.85, which is not greater than the critical value of 2.576, so we fail to reject the null hypothesis. The calculated z-score is 0.85, which is not greater than the critical value of 2.576, so we reject the null hypothesis.