The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 269, SSA = 26, SSB = 21, SSAB = 171. Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to three decimal places.)
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
---|---|---|---|---|---|
Factor A | |||||
Factor B | |||||
Interaction | |||||
Error | |||||
Total |
Test for any significant main effects and any interaction effect. Use α = 0.05.
Find the value of the test statistic for factor A. (Round your answer to two decimal places.)
Find the p-value for factor A. (Round your answer to three decimal places.)
p-value =
State your conclusion about factor A.
Because the p-value > α = 0.05, factor A is not significant.Because the p-value > α = 0.05, factor A is significant. Because the p-value ≤ α = 0.05, factor A is significant.Because the p-value ≤ α = 0.05, factor A is not significant.
Find the value of the test statistic for factor B. (Round your answer to two decimal places.)
Find the p-value for factor B. (Round your answer to three decimal places.)
p-value =
State your conclusion about factor B.
Because the p-value ≤ α = 0.05, factor B is significant.Because the p-value ≤ α = 0.05, factor B is not significant. Because the p-value > α = 0.05, factor B is not significant.Because the p-value > α = 0.05, factor B is significant.
Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)
Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)
p-value =
State your conclusion about the interaction between factors A and B.
Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.Because the p-value > α = 0.05, the interaction between factors A and B is significant. Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant.Because the p-value > α = 0.05, the interaction between factors A and B is not significant.
Source | SS | df | MS | F | p vlaue |
factor A | 26 | 3 | 8.67 | 4.08 | 0.018 |
factor B | 21 | 2 | 10.50 | 4.94 | 0.016 |
interaction | 171 | 6 | 28.50 | 13.41 | 0.000 |
error | 51 | 24 | 2.13 | ||
total | 269 | 35 |
value of test statistic for factor A =4.08 |
p value =0.018 |
because the p value <0.05 , factor A is significant |
value of test statistic for factor B =4.94 |
p value =0.016 |
because the p value <0.05 , factor B is significant |
value of test statistic for interaction =13.41 |
p value =0.00 |
because the p value <0.05 , interaction is significant |
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