an experiment to investigate four different brands 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 75672 55 25224. 18 179 Error 16 235,467.04 14716 69 Total 19 311,139.59 Calculate the test statistic. (Round your answer to two decimal places.) Entera number Use technology or SALT to find the P-value. (Round your answer to four decimal places.) P-value -L 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. 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 H. There is 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
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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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
Sum of
Mean
df
Variation
Squares
Square
Treatments
3
75672.55
25224.18
1.79
Error
16
235,467.04
14716.69
Total
19
311,139.59
Calculate the test statistic. (Round your answer to two decimal places.)
F=
|Enter a number.
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 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 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.
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 Sum of Mean df Variation Squares Square Treatments 3 75672.55 25224.18 1.79 Error 16 235,467.04 14716.69 Total 19 311,139.59 Calculate the test statistic. (Round your answer to two decimal places.) F= |Enter a number. 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 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 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.
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