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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 31 31 Machine 1 35 25 20 25 Machine 2 23 29 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 -

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 31 31 Machine 1 35 25 20 25 Machine 2 23 29 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 -

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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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 -
Transcribed Image Text: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 -
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 31 31 Machine 1 35 25 20 25 Machine 2 23 29 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 F 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 -
Transcribed Image Text: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 31 31 Machine 1 35 25 20 25 Machine 2 23 29 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 F 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 -
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