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 Squares Mean df Square Treatments Error 237.654.04 Total 318,593.75 Calculate the test statistic. (Round your answer to two decimal places.) F-L 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 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. O Fail to reject Hg. There is comvincing 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 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 not convincing evidence that the average number of miles until failure is not the same for all four brands of spark plugs. Need Help? Read Wach

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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
Sum of
Squares
Mean
df
Square
Treatments
Error
237,654.04
Total
318,593.75
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 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 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.
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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 Variation Sum of Squares Mean df Square Treatments Error 237,654.04 Total 318,593.75 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 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 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. Need Help? Read Wach it
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