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A manufacturing company designed a Factorial Experiment to determine whether the number of defective parts produced by two machines (the "Sample" row in the ANOVA table) 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 "Columns" row in the ANOVA table). Assuming that alpha is 0.05, and looking at the information in the "Sample" row in the ANOVA table, #1, would you Reject or Fail to Reject the Null hypothesis that the two Machines produce the same average number of defective parts? And, #2, EXPLAIN specifically what you used in the ANOVA table to arrive at your decision. ANOVA Source of Variation Sample Columns Interaction Within Total SS 52.08333333 4.083333333 18.75 34 108.9166667 df 1 1 1 8 11 MS F P-value 52.08333333 12.25490196 0.008070795 4.083333333 0.960784314 0.355697954 18.75 4.411764706 0.068892487 4.25

A manufacturing company designed a Factorial Experiment to determine whether the number of defective parts produced by two machines (the "Sample" row in the ANOVA table) 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 "Columns" row in the ANOVA table). Assuming that alpha is 0.05, and looking at the information in the "Sample" row in the ANOVA table, #1, would you Reject or Fail to Reject the Null hypothesis that the two Machines produce the same average number of defective parts? And, #2, EXPLAIN specifically what you used in the ANOVA table to arrive at your decision. ANOVA Source of Variation Sample Columns Interaction Within Total SS 52.08333333 4.083333333 18.75 34 108.9166667 df 1 1 1 8 11 MS F P-value 52.08333333 12.25490196 0.008070795 4.083333333 0.960784314 0.355697954 18.75 4.411764706 0.068892487 4.25

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A manufacturing company designed a Factorial Experiment to determine whether the number of defective parts produced by two machines (the "Sample" row in the ANOVA table) 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 "Columns" row in the ANOVA table). Assuming that alpha is 0.05, and looking at the information in the "Sample" row in the ANOVA table, #1, would you Reject or Fail to Reject the Null hypothesis that the two Machines produce the same average number of defective parts? And, #2, EXPLAIN specifically what you used in the ANOVA table to arrive at your decision. ANOVA Source of Variation Sample Columns Interaction Within Total SS 52.08333333 4.083333333 18.75 34 108.9166667 df 1 1 1 8 11 MS F P-value 52.08333333 12.25490196 0.008070795 4.083333333 0.960784314 0.355697954 18.75 4.411764706 0.068892487 4.25
Transcribed Image Text:A manufacturing company designed a Factorial Experiment to determine whether the number of defective parts produced by two machines (the "Sample" row in the ANOVA table) 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 "Columns" row in the ANOVA table). Assuming that alpha is 0.05, and looking at the information in the "Sample" row in the ANOVA table, #1, would you Reject or Fail to Reject the Null hypothesis that the two Machines produce the same average number of defective parts? And, #2, EXPLAIN specifically what you used in the ANOVA table to arrive at your decision. ANOVA Source of Variation Sample Columns Interaction Within Total SS 52.08333333 4.083333333 18.75 34 108.9166667 df 1 1 1 8 11 MS F P-value 52.08333333 12.25490196 0.008070795 4.083333333 0.960784314 0.355697954 18.75 4.411764706 0.068892487 4.25
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