a. Let µi and µ2 represent the mean Full Scale IQ score for all first-born identical twins and second- born identical twins, respectively, and let µa be the mean of the differences in IQ score of all identical twins (IQ score of first-born twin - IQ score of second-born twin). Which are the appropriate null and alternative hypotheses? O (A) Họ: Ha = 0 Hg: Hg > 0 O (B) Họ: Hg = 0 Hg: Ho < 0 O (C) Họ: Hg > 0 Hạ: Ha = 0 O (D) Ho: H1= P2 H3: H1 > Hz O Both (A) and (D) are correct. b. The following is the (edited) output for the test: Paired T-Test and CI Sample First-born Mean StDev SE Mean 10 10 10 70.6 78.0 -0.43 23.4 17.4 11.83 7.4 5.5 3.74 Second-born Difference 95% lower bound for mean difference: -7.29 T-Test of mean difference = 0 (vs > 0): T-Value - -0.11 P-Value - 0.544 From the output we learn that: O The data provide sufficient evidence to reject H, and, thus, conclude that the mean Full Scale IQ score for first-born identical twins is higher than the mean Full Scale IQ score for second- born identical twins. O The data provide sufficient evidence to reject Ho- We therefore conclude the data do not provide evidence to conclude that the mean Full Scale IQ scores for first-born identical twins is higher than that of second-born identical twins. O The data do not provide sufficient evidence to reject Ho. We therefore conclude that the mean Full Scale IQ score for first-born identical twins is higher than the mean Full Scale IQ score for second-born identical twins. O The data do not provide sufficient evidence to reject Ho. In other words, based on the data we cannot conclude that the mean Full Scale IQ scores for first-born identical twins is higher than the mean Full Scale IQ score for second-born identical twins.
a. Let µi and µ2 represent the mean Full Scale IQ score for all first-born identical twins and second- born identical twins, respectively, and let µa be the mean of the differences in IQ score of all identical twins (IQ score of first-born twin - IQ score of second-born twin). Which are the appropriate null and alternative hypotheses? O (A) Họ: Ha = 0 Hg: Hg > 0 O (B) Họ: Hg = 0 Hg: Ho < 0 O (C) Họ: Hg > 0 Hạ: Ha = 0 O (D) Ho: H1= P2 H3: H1 > Hz O Both (A) and (D) are correct. b. The following is the (edited) output for the test: Paired T-Test and CI Sample First-born Mean StDev SE Mean 10 10 10 70.6 78.0 -0.43 23.4 17.4 11.83 7.4 5.5 3.74 Second-born Difference 95% lower bound for mean difference: -7.29 T-Test of mean difference = 0 (vs > 0): T-Value - -0.11 P-Value - 0.544 From the output we learn that: O The data provide sufficient evidence to reject H, and, thus, conclude that the mean Full Scale IQ score for first-born identical twins is higher than the mean Full Scale IQ score for second- born identical twins. O The data provide sufficient evidence to reject Ho- We therefore conclude the data do not provide evidence to conclude that the mean Full Scale IQ scores for first-born identical twins is higher than that of second-born identical twins. O The data do not provide sufficient evidence to reject Ho. We therefore conclude that the mean Full Scale IQ score for first-born identical twins is higher than the mean Full Scale IQ score for second-born identical twins. O The data do not provide sufficient evidence to reject Ho. In other words, based on the data we cannot conclude that the mean Full Scale IQ scores for first-born identical twins is higher than the mean Full Scale IQ score for second-born identical twins.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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