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.O Because the p-value a = 0.05, factor A is not significant.O Because the p-value a = 0.05, factor A is significant.O Because the p-value s a = 0.05, factor A is significant.O Because the p-value s a = 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.O Because the p-value a = 0.05, factor B is significant.O Because the p-value a = 0.05, factor B 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.O Because the p-value a = 0.05, the interaction between factors A and B is not significant.O Because the p-value a = 0.05, the interaction between factors A and B is significant. 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 = 280, SSA = 26, SSB = 21, SSAB = 178. Set up the ANOVA table. (Round your values for mean squares and F totwo decimal places, and your p-values to three decimal places.)SourceSumDegreesof FreedomMeanFp-valueof Variationof SquaresSquareFactor AFactor BInteractionErrorTotalTest 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.O Because the p-value a = 0.05, factor A is not significant.O Because the p-value a = 0.05, factor A is significant.O Because the p-value s a = 0.05, factor A is significant.O Because the p-value s a = 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.O Because the p-value a = 0.05, factor B 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.)

Question

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.O Because the p-value > a = 0.05, factor A is not significant.O Because the p-value > a = 0.05, factor A is significant.O Because the p-value s a = 0.05, factor A is significant.O Because the p-value s a = 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.O Because the p-value < a = 0.05, factor B is not significant.O Because the p-value s a = 0.05, factor B is significant.O Because the p-value > a = 0.05, factor B is significant.O Because the p-value > a = 0.05, factor B 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.O Because the p-value < a = 0.05, the interaction between factors A and B is significant.O Because the p-value s a = 0.05, the interaction between factors A and B is not significant.O Because the p-value > a = 0.05, the interaction between factors A and B is not significant.O Because the p-value > a = 0.05, the interaction between factors A and B is significant. 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 = 280, SSA = 26, SSB = 21, SSAB = 178. Set up the ANOVA table. (Round your values for mean squares and F totwo decimal places, and your p-values to three decimal places.)SourceSumDegreesof FreedomMeanFp-valueof Variationof SquaresSquareFactor AFactor BInteractionErrorTotalTest 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.O Because the p-value > a = 0.05, factor A is not significant.O Because the p-value > a = 0.05, factor A is significant.O Because the p-value s a = 0.05, factor A is significant.O Because the p-value s a = 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.O Because the p-value < a = 0.05, factor B is not significant.O Because the p-value < a = 0.05, factor B is significant.O Because the p-value > a = 0.05, factor B is significant.O Because the p-value > a = 0.05, factor B 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.)

Accepted Answer

Complete the Anova table and carry out the hypotheses