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 observ 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 df Sum of Squares Mean Square F Treatments. 3 26226.4 1.79 Error 16 1 234,738.04 14671.13 Total 19 312,485.48 Calculate the test statistic. (Round your answer to two decimal places.) F= Use technology or SALT to find the P-value. (Round your answer to four decimal places.) P-value= 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 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 Ho. 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 not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. 78679.21

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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 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
df
Sum of
Squares
Mean
Square
F
Treatments 3
26226.4
1.79
Error
16
234,738.04
14671.13
Total
19
312,485.48
Calculate the test statistic. (Round your answer to two decimal places.)
F =
Use technology or SALT to find the P-value. (Round your answer to four decimal places.)
P-value =
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 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 Ho. 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 not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs.
78679.21
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 Variation df Sum of Squares Mean Square F Treatments 3 26226.4 1.79 Error 16 234,738.04 14671.13 Total 19 312,485.48 Calculate the test statistic. (Round your answer to two decimal places.) F = Use technology or SALT to find the P-value. (Round your answer to four decimal places.) P-value = 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 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 Ho. 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 not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. 78679.21
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