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Running Shoes. A shoe designer tests a new material for the soles of their most popular line of running shoes. She has 6 athletes run 100 miles with one of last years shoes and one of these new shoes, randomly assigning the new shoe to the left or right foot. Afterward, she measures the amount of wear on each of the shoes in millimeters. Test the claim that the amount of wear with the new material is different from the amount of wear with the old material. Runner 1 2 3 4 New Material Wear 1.14 1.04 1.08 1.09 Old Material Wear 1.03 0.87 0.96 1.01 (a) Why are these paired data? The top and bottom values in each column are from the same runner. Runners typically run in groups of two. There are an equal number of shoes of each type. This table does not have paired data; there is no clear relationship between the top and bottom values in any column. Each runner has a pair of shoes. (b) Write the hypotheses in symbols. Ho: Hdiff-new-old = 0 Ha: Pdiff-new-old > 0 Ho: Pdiff-new-old - 0 Hai Hdiff-new-old * 0 5 6 1.05 1 1.02 1.06 -0 Ho: Hdiff-new-old Ha: Hdiff-new-old 0 < (c) Put the list of differences in your calculator and use T-Test to find the p-value. D= (please round to four decimal places)

Running Shoes. A shoe designer tests a new material for the soles of their most popular line of running shoes. She has 6 athletes run 100 miles with one of last years shoes and one of these new shoes, randomly assigning the new shoe to the left or right foot. Afterward, she measures the amount of wear on each of the shoes in millimeters. Test the claim that the amount of wear with the new material is different from the amount of wear with the old material. Runner 1 2 3 4 New Material Wear 1.14 1.04 1.08 1.09 Old Material Wear 1.03 0.87 0.96 1.01 (a) Why are these paired data? The top and bottom values in each column are from the same runner. Runners typically run in groups of two. There are an equal number of shoes of each type. This table does not have paired data; there is no clear relationship between the top and bottom values in any column. Each runner has a pair of shoes. (b) Write the hypotheses in symbols. Ho: Hdiff-new-old = 0 Ha: Pdiff-new-old > 0 Ho: Pdiff-new-old - 0 Hai Hdiff-new-old * 0 5 6 1.05 1 1.02 1.06 -0 Ho: Hdiff-new-old Ha: Hdiff-new-old 0 < (c) Put the list of differences in your calculator and use T-Test to find the p-value. D= (please round to four decimal places)

MATLAB: An Introduction with Applications
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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(c) Put the list of differences in your calculator and use T-Test to find the p-value. p= (please round to four decimal places) (d) What is the conclusion of the hypothesis test? Since p < 0.05 we fail to reject the null hypothesis. Since p≥ 0.05 we fail to reject the null hypothesis. Since p ≥ 0.05 we support the null hypothesis. Since p ≥ 0.05 we reject the null hypothesis and support the alternative. Since p < 0.05 we reject the null hypothesis and support the alternative. (e) What is the final conclusion in everyday language? There is sufficient evidence to support the claim that the wear amounts are different. There is not sufficient evidence to support the claim that the wear amounts are different. There is not sufficient evidence to reject the claim that the wear amounts are different. There is sufficient evidence to reject the claim that the wear amounts are different. 66 Question Help:Written Example Message instructor Post to forum Submit Question Jump to Answer
Transcribed Image Text:(c) Put the list of differences in your calculator and use T-Test to find the p-value. p= (please round to four decimal places) (d) What is the conclusion of the hypothesis test? Since p < 0.05 we fail to reject the null hypothesis. Since p≥ 0.05 we fail to reject the null hypothesis. Since p ≥ 0.05 we support the null hypothesis. Since p ≥ 0.05 we reject the null hypothesis and support the alternative. Since p < 0.05 we reject the null hypothesis and support the alternative. (e) What is the final conclusion in everyday language? There is sufficient evidence to support the claim that the wear amounts are different. There is not sufficient evidence to support the claim that the wear amounts are different. There is not sufficient evidence to reject the claim that the wear amounts are different. There is sufficient evidence to reject the claim that the wear amounts are different. 66 Question Help:Written Example Message instructor Post to forum Submit Question Jump to Answer
Running Shoes. A shoe designer tests a new material for the soles of their most popular line of running shoes. She has 6 athletes run 100 miles with one of last years shoes and one of these new shoes, randomly assigning the new shoe to the left or right foot. Afterward, she measures the amount of wear on each of the shoes in millimeters. Test the claim that the amount of wear with the new material is different from the amount of wear with the old material. Runner 4 1 2 3 1.14 1.04 1.08 1.09 New Material Wear Old Material Wear 1.03 0.87 0.96 1.01 (b) Write the hypotheses in symbols. Ho: Hdiff-new-old = 0 Ha: Hdiff-new-old > 0 O Ho: Pdiff-new-old (a) Why are these paired data? O The top and bottom values in each column are from the same runner. Runners typically run in groups of two. There are an equal number of shoes of each type. This table does not have paired data; there is no clear relationship between the top and bottom values in any column. Each runner has a pair of shoes. -0 Ha: Hdiff-new-old * 0 5 1.05 1.02 1.06 Ho: Hdiff-new-old = 0 Ha: Hdiff-new-old 0 < 6 1 (c) Put the list of differences in your calculator and use T-Test to find the p-value.. Р" (please round to four decimal places)
Transcribed Image Text:Running Shoes. A shoe designer tests a new material for the soles of their most popular line of running shoes. She has 6 athletes run 100 miles with one of last years shoes and one of these new shoes, randomly assigning the new shoe to the left or right foot. Afterward, she measures the amount of wear on each of the shoes in millimeters. Test the claim that the amount of wear with the new material is different from the amount of wear with the old material. Runner 4 1 2 3 1.14 1.04 1.08 1.09 New Material Wear Old Material Wear 1.03 0.87 0.96 1.01 (b) Write the hypotheses in symbols. Ho: Hdiff-new-old = 0 Ha: Hdiff-new-old > 0 O Ho: Pdiff-new-old (a) Why are these paired data? O The top and bottom values in each column are from the same runner. Runners typically run in groups of two. There are an equal number of shoes of each type. This table does not have paired data; there is no clear relationship between the top and bottom values in any column. Each runner has a pair of shoes. -0 Ha: Hdiff-new-old * 0 5 1.05 1.02 1.06 Ho: Hdiff-new-old = 0 Ha: Hdiff-new-old 0 < 6 1 (c) Put the list of differences in your calculator and use T-Test to find the p-value.. Р" (please round to four decimal places)
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