A manufacturing company designed a factorial experiment to determine whether the number of defective parts produced by two machines differed and if the number of defective parts produced also depended on whether the raw material needed by each machine was loaded manually or by an automatic feed system. The following data give the numbers of defective parts produced. Loading System Manual Automatic 30 29 Machine 1 34 26 19 24 Machine 2 22 27 Use a = 0.05 to test for any significant effect due to machine, loading system, and interaction. Set up the ANOVA table. Assume that Factor A is Machine and Factor B is Loading System. If your answer is zero, enter "0". Source Sum of Squares Degrees Mean Square p-value of Variation (to 2 decimals) of Freedom (to 2 decimals) (to 2 decimals) (to 2 decimals) Factor A Factor B Interaction Error Total The p-value for Factor A is - Select your answer - What is your conclusion with respect to Factor A? Select your answer- The p-value for Factor B is- Select your answer - What is your conclusion with respect to Factor B? - Select your answer- The p-value for the interaction of factors A and B is Select your answer What is your conclusion with respect to the interaction of Factors A and B? -Select your answer -

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A: This doesn't quite answer the question of whether it's true or not.

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A: Simplification

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Statements and Logic

Logic is the analysis of general patterns of thoughts without regard to any specific sense of context.