In an experiment to investigate the performance of four different brands of spark plugs intended for use on a 125 ce motoreycle, five plugs of each brand were tested, and the number of miles (at a constant speed) until failure Fill in the missing entries, and test the relevant hypotheses using a 0.05 level of significance. (Round your answers to two decimal places.) Sum of Squares Source of Mean df Variation Square Treatments Error 234,738.04 Total 315.694.91 Calculate the test statistic. (Round your answer to two decimal places.) Use technology or SALT to find the P-value. (Round your answer to four decimal places.) Prvalue - What can you conclude? O Fail to 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 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 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 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.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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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.)
Sum of
Squares
Source of
Mean
df
F
Variation
Square
Treatments
Error
234,738.04
Total
315,694.91
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
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 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 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 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.) Sum of Squares Source of Mean df F Variation Square Treatments Error 234,738.04 Total 315,694.91 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 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 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 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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