Question
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
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)(11 + 12) 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.
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