In an experiment to compare the tensile strengths of I = 6 different types of copper wire, J = 5 samples of each type were used. The between-samples and within-samples estimates of σ2 were computed as MSTr = 2678.3 and MSE = 1188.2, respectively. Use the F test at level 0.05 to test H0: μ1 = μ2 = . . . = μ6 versus Ha: at least two μi's are unequal.
1. Calculate the test statistic. (Round your answer to two decimal places.) f =
2. What can be said about the P-value for the test? Select an answer.
A) P-value > 0.100
B) 0.050 < P-value < 0.100
C) 0.010 < P-value < 0.050
D) 0.001 < P-value < 0.010
E) P-value < 0.001
State the conclusion in the problem context. Select an answer
A) Reject H0. The data indicates there is not a difference in the mean tensile strengths.
B)Reject H0. The data indicates a difference in the mean tensile strengths.
C)Fail to reject H0. The data indicates a difference in the mean tensile strengths.
D) Fail to reject H0. The data indicates there is not a difference in the mean tensile strengths.
Source | df | SS | MS | F |
between | 5 | 2678.3 | 535.66 | 10.82 |
within | 24 | 1188.2 | 49.51 | |
total | 29 | 3866.5 |
1)
test statistic =10.82
2)
E) P-value < 0.001
3)
B)Reject H0. The data indicates a difference in the mean tensile strengths.
In an experiment to compare the tensile strengths of I = 6 different types of copper...
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