The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three repli

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The Calculations For A Factorial Experiment Involving Four Levels Of Factor A Three Levels Of Factor B And Three Repli 1 (56.11 KiB) Viewed 54 times

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 - 286, SSA-25, SSB -24, SSAB - 175. 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.) Mean Source Sum Degrees of Variation of Squares of Freedom Square p-value Factor A Factor Interaction Error Total Test for any significant main effects and any interaction effect. Use a = 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-values a = 0.05, factor A is not significant, Because the p-values o 0.05, factor A is significant Because the p-value >= 0.05, factor A is not significant. Because the p-value > -0.05, factor A is significant Find the value of the test statistic for factor B. (Round your answer to two decinal places.) Find the p-value for factor B. (Round your answer to three decimal places.) D-value- State your conclusion about factor B. Because the p-value su-0.0s, factor is significant Because the p-value sa = 0.05, factor is not significant. Because the p-value > 0.05, factor is significant Because the p-value > a = 0.05, factor is not 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 $a = 0.05, the interaction between factors A and B is significant. Because the p-value > - 0.05, the interaction between factors A and B is not significant Because the p-value $a = 0.05, the interaction between factors A and B is not significant. Because the p-value > a = 0.05, the interaction between factors A and B is significant