The following ANOVA table shows the results of a two-way factorial experiment with interaction. (3 x 4) Source df SS MS F p-value A 2 309 154.5 5.72 0.007 B 3 408 136 5.04 0.005 AB 6 159 26.5 0.981 0.452 Error 36 972 27 Total 47 1848 Since the interaction between the two factors A and B is not significant based on the p-value, we need to test for main effects. Using the additive model, what is the value of the F-test statistic needed to test for the main effect of Factor B? Assume a 0.05 level of significance. 5.74 5.05 2.95 4.36
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Adi S.
The following ANOVA table shows the results of a two-way factorial experiment with interaction. (3 x 4) Source df SS MS F p-value A 2 309 154.5 5.72 0.007 B 3 408 136 5.04 0.005 AB 6 159 26.5 0.981 0.452 Error 36 972 27 Total 47 1848 Since the interaction between the two factors A and B is not significant based on the p-value, we need to test for main effects. Using the additive model, what is the value of the F-test statistic needed to test for the main effect of Factor B? Assume a 0.05 level of significance. 4.36 5.74 5.05 2.95
Madhur L.
The following ANOVA table shows the results of a two-way factorial experiment with interaction. (2x4) Source df SS MS F p-value A 1 65 65 4.48 0.042 B 3 408 136 9.38 0.0001 AB 3 101 33.67 2.32 0.094 Error 32 464 14.5 Total 39 1038 Since the interaction between the two factors A and B is not significant based on the p-value, we need to test for main effects. Using the additive model, what is the value of the F-test statistic needed to test for the main effect of Factor B? Assume a 0.05 level of significance. 7.70 4.03 6.92 8.42
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