In an experiment to investigate the performance of four different brands of spark plugs intended for use on a 125 cc motorcycle, five plugs of each brand were tested, and the number of miles (at a constant speed) until failure was observed. A partially completed ANOVA table is given. Fill in the missing entries, and test the relevant hypotheses using a 0.05 level of significance. (Round your answers to two decimal places.) Source of Sum of Mean df Variation Squares Square Treatments 3 Error 16 236,196.04 Total 19 318,800.81 Calculate the test statistic. (Round your answer to two decimal places.) What can be said about the P-value for this test? O p-value > 0.100 O 0.050 < P-value < 0.100 O 0.010 < Pvalue < 0.050 O 0.001 < Pvalue < 0.010 O p-value < 0.001 What can you conclude? O Reject Ho. There is convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. O Reject Ha. There is not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. O Fail to reject Ho. There is convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. O Fail to reject Hg. There is not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. You may need to use the appropriate table in the appendix or technology to answer this question.

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Description: In an experiment to investigate the performance of four different brands of spark plugs intended for use on a 125 cc motorcycle, five plugs of each brand were tested, and the number of miles (at a constant speed) until failure was observed. A partia

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Transcribed Image Text:In an experiment to investigate the performance of four different brands of spark plugs intended for use on a 125 cc motorcycle, five plugs of each brand were tested, and the number of miles (at a constant speed) until failure was observed. A partially completed ANOVA table is given. Fill in the missing entries, and test the relevant hypotheses using a 0.05 level of significance. (Round your answers to two decimal places.) Source of Sum of Mean df Variation Squares Square Treatments 3 Error 16 236,196.04 Total 19 318,800.81 Calculate the test statistic. (Round your answer to two decimal places.) F = What can be said about the P-value for this test? O p-value > 0.100 O 0.050 < P-value < 0.100 O 0.010 < P-value < 0.050 O 0.001 < P-value < 0.010 O P-value < 0.001 What can you conclude? O Reject H,. There is convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. O Reject H,. There is not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. O Fail to reject H.. There is convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. O Fail to reject H.. There is not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. You may need to use the appropriate table in the appendix or technology to answer this question.

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