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 vas observed. A partially completed ANOVA table is g 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 F Variation Squares Square 3 13.45 20220.4 x 1.70 x Treatments Error 16 234,738.04 14071.13 Total 10 312,485.48 Calculate the test statistic. (Round your answer to two decimal places.) F-1.70 Use technology or SALT to find the Pevalue. (Round your ansver to four decimal places.) P-value - 0.1800 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 Hg. There is convincing evidence that the average number of miles until failure is not the same fi 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 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.

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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 give
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
F
Variation
Squares
Square
Treatments
3
13.45
26226.4
1.79
Error
16
234,738.04
14671.13
19
Total
312,485.48
Calculate the test statistic. (Round your answer to two decimal places.)
F = 1,79
lx
Use technology or SALT to find the P-value. (Round your answer to four decimal places.)
P-value = 0.1898
What can you conclude?
O Fail to reject Hn: 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 Hg. 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 Hn: 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 Hn. There is not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs.
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 give 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 F Variation Squares Square Treatments 3 13.45 26226.4 1.79 Error 16 234,738.04 14671.13 19 Total 312,485.48 Calculate the test statistic. (Round your answer to two decimal places.) F = 1,79 lx Use technology or SALT to find the P-value. (Round your answer to four decimal places.) P-value = 0.1898 What can you conclude? O Fail to reject Hn: 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 Hg. 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 Hn: 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 Hn. There is not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs.
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