Data lists full IQ scores for a random sample of subjects with low lead levels in their blood and another random sample of subjects with high lead levels in their blood. The statistics are summarized below. Use a 0.05 significance level to test the claim that the mean IQ score of people with low lead levels in their blood is higher than those with high lead levels in their blood. Let u1 represent a low lead level.    Low lead Level : n=25 x= 91.90476 s= 9.988352   Higher Lead Level: n= 74 x= 89.89462 s= 12.34451 Answer choice: A. One is 95% confidence that the true difference is mean is in the interval (-2.929, 6,9488) and since zero is contained in the interval we fail to reject the null hypothesis. B. One is 95% confident that the true mean of the low lead levels is between (-2.929, 6,9488) and since zero is contained in the interval we fail to reject the null hypothesis. C. One is 95% confident that the true difference in mean is in the interval (-2.929, 6,9488) and since zero is contained in the interval we reject the null hypothesis. D. One is 95% confident that the true mean of the low lead levels is between (-2.929, 6,9488) and since zero is contained in the interval we reject the null hypothesis.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
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Data lists full IQ scores for a random sample of subjects with low lead levels in their blood and another random sample of subjects with high lead levels in their blood. The statistics are summarized below. Use a 0.05 significance level to test the claim that the mean IQ score of people with low lead levels in their blood is higher than those with high lead levels in their blood. Let u1 represent a low lead level. 

 

Low lead Level : n=25

x= 91.90476

s= 9.988352

 

Higher Lead Level: n= 74

x= 89.89462

s= 12.34451

Answer choice:

A. One is 95% confidence that the true difference is mean is in the interval (-2.929, 6,9488) and since zero is contained in the interval we fail to reject the null hypothesis.

B. One is 95% confident that the true mean of the low lead levels is between (-2.929, 6,9488) and since zero is contained in the interval we fail to reject the null hypothesis.

C. One is 95% confident that the true difference in mean is in the interval (-2.929, 6,9488) and since zero is contained in the interval we reject the null hypothesis.

D. One is 95% confident that the true mean of the low lead levels is between (-2.929, 6,9488) and since zero is contained in the interval we reject the null hypothesis.

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