A manufacturing company produces part 2205 for the aerospace industry.This particular part can be manufactured using 3 different production processes.The management wants to know if the quality of the units of part 2205 is the same for all three processes.The production supervisor obtained the following data: Process 1 had 29 defective units in 240 items,Process 2 produced 12 defective units in 180 items,and Process 3 manufactured 9 defective units in 150 items.At a significance level of .05,we performed a chi-square test to determine whether the quality of the items produced appears to be the same for all three processes.What is the null hypothesis?
A) H0: The number of defectives produced is independent of the production process used.
B) H0: The row and column variables are associated with each other.
C) H0: The proportion of defective units produced by the three production processes is the same.
D) Both H0: The number of defectives produced is independent of the production process used and H0: The proportion of defective units produced by the three production processes is the same are correct or at least acceptable ways of stating the null hypothesis.
E) H0: The number of defectives produced is independent of the production process used,H0: The row and column variables are associated with each other,and H0: The proportion of defective units produced by the three production processes is the same are all acceptable ways of stating the null hypothesis.
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