1.IQ and Lead Exposure: Step 1 The data set IQLEAD (found in the lab description) lists full IQ scores for a random sample of subjects selected from a group with low lead levels in their blood and another random sample of subjects selected from a group with high lead levels in their blood. The statistics are for these groups are summarized below. Use a 0.05 significance level to test the claim that the mean IQ score of people with low lead levels is higher than the mean IQ score of people with high lead levels. Low Lead Level: n = 78, x̄= 92.88462, s = 15.34451 High Lead Level: n = 21, x̄ = 86.90476, s = 8.988352 Fill in the blanks to complete Step 1: The hypotheses: H0μ1−μ2= A.57 b.-57 c.0 D. 50 H1μ1−μ2 = A. greater than B.less than C. not equal to where μ1 is the mean from the low lead level group and μ2 is the mean from the high lead level group 2.IQ and Lead Exposure: Confidence Interval (cont) The data set IQLEAD (found in the lab description) lists full IQ scores for a random sample of subjects selected from a group with low lead levels in their blood and another random sample of subjects selected from a group with high lead levels in their blood. The statistics are for these groups are summarized below. Build 95% Confidence interval to test the claim that the mean IQ score of people with low lead levels is higher than the mean IQ score of people with high lead levels. Fill in the blanks below to interpret the confidence interval. Based on this sample, we are are [ Select ] A.95, B.5, C.1 D.99] % confident that the true difference in population mean IQ scores between the low lead group and the high lead group is between 1.34 and 10.62 posts. Since [ Select ] A.0, B.5, C.-5 is [ Select ] ["in", "not in"] in the interval, the sample evidence indicates a difference in IQ scores between the two groups.

1.IQ and Lead Exposure: Step 1 The data set IQLEAD (found in the lab description) lists full IQ scores for a random sample of subjects selected from a group with low lead levels in their blood and another random sample of subjects selected from a group with high lead levels in their blood. The statistics are for these groups are summarized below. Use a 0.05 significance level to test the claim that the mean IQ score of people with low lead levels is higher than the mean IQ score of people with high lead levels. Low Lead Level: n = 78, x̄= 92.88462, s = 15.34451 High Lead Level: n = 21, x̄ = 86.90476, s = 8.988352 Fill in the blanks to complete Step 1: The hypotheses: H0μ1−μ2= A.57 b.-57 c.0 D. 50 H1μ1−μ2 = A. greater than B.less than C. not equal to where μ1 is the mean from the low lead level group and μ2 is the mean from the high lead level group 2.IQ and Lead Exposure: Confidence Interval (cont) The data set IQLEAD (found in the lab description) lists full IQ scores for a random sample of subjects selected from a group with low lead levels in their blood and another random sample of subjects selected from a group with high lead levels in their blood. The statistics are for these groups are summarized below. Build 95% Confidence interval to test the claim that the mean IQ score of people with low lead levels is higher than the mean IQ score of people with high lead levels. Fill in the blanks below to interpret the confidence interval. Based on this sample, we are are [ Select ] A.95, B.5, C.1 D.99] % confident that the true difference in population mean IQ scores between the low lead group and the high lead group is between 1.34 and 10.62 posts. Since [ Select ] A.0, B.5, C.-5 is [ Select ] ["in", "not in"] in the interval, the sample evidence indicates a difference in IQ scores between the two groups.

Name: 1.IQ and Lead Exposure: Step 1 The data set IQLEAD (found in the lab
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Description: 1.IQ and Lead Exposure: Step 1 The data set IQLEAD (found in the lab description) lists full IQ scores for a random sample of subjects selected from a group with low lead levels in their blood and another random sample of subjects selected from a gr

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1.IQ and Lead Exposure: Step 1 The data set IQLEAD (found in the lab description) lists full IQ scores for a random sample of subjects selected from a group with low lead levels in their blood and another random sample of subjects selected from a group with high lead levels in their blood. The statistics are for these groups are summarized below.

Use a 0.05 significance level to test the claim that the mean IQ score of people with low lead levels is higher than the mean IQ score of people

with high lead levels.

Low Lead Level: n = 78, x̄= 92.88462, s = 15.34451

High Lead Level: n = 21, x̄ = 86.90476, s = 8.988352

Fill in the blanks to complete Step 1: The hypotheses:

H0μ1−μ2=

A.57 b.-57 c.0 D. 50

H1μ1−μ2 =

A. greater than B.less than C. not equal to

where μ1 is the mean from the low lead level group and μ2 is the mean from the high lead level group

2.IQ and Lead Exposure: Confidence Interval (cont) The data set IQLEAD (found in the lab description) lists full IQ scores for a random sample of subjects selected from a group with low lead levels in their blood and another random sample of subjects selected from a group with high lead levels in their blood. The statistics are for these groups are summarized below. Build 95% Confidence interval to test the claim that the mean IQ score of people with low lead levels is higher than the mean IQ score of people with high lead levels.

Fill in the blanks below to interpret the confidence interval.

Based on this sample, we are are [ Select ] A.95, B.5, C.1 D.99] % confident that the true difference in population mean IQ scores between the low lead group and the high lead group is between 1.34 and 10.62 posts. Since [ Select ] A.0, B.5, C.-5 is [ Select ] ["in", "not in"] in the interval, the sample evidence indicates a difference in IQ scores between the two groups.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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