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 Variation Sum of Mean df Squares Square Treatments 3 81163.93 27054.64 1.84 Error 16 234,738.04 14671.13 Total 19 315,901.97 Calculate the test statistic. (Round your answer to two decimal places.) F= 1.84 Use technology or SALT to find the P-value. (Round your answer to four decimal places.) P-value = 0.1806 What can you conclude? 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 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 not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. O Reject Hg. There is convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. Need Help? Read It Watch It

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O8. Calculate Thy, deyntine jaung hule or coulination of tlhe appropuicte fas= ex Tea+2)(at+4)