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In sample 1, 60 of the 100 people have blood type A. In Sample 2,...

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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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