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One criterion used to evaluate employees in the assembly section of a large factory is the number of defective

pieces per 1,000 parts produced.  The quality control department wants to find out whether there is a relationship between years of experience and defect rate. Since the job is repetitious, after the initial training period any improvement due to a learning effect might be offset by a loss of motivation. A defect rate is calculated for each worker in a yearly evaluation. The results for 100 workers are given in the table below. Years Since Training Period Defect Rate High 6 9 9 Average 9 19 23 Low 7 8 10 Referring to the table above, which test would be used to properly analyze the data in this experiment to determine whether there is a relationship between defect rate and years of experience? A. ANOVA  F test for main treatment effect B. Z  test for difference in two proportions C. X2  test for equal proportions is higher than another D. X2  test for independence in a two-way contingency table See attached file for full problem description. One criterion used to evaluate employees in the assembly section of a large factory is the number of defective pieces per 1,000 parts produced. The quality control department wants to find out whether there is a relationship between years of experience and defect rate. Since the job is repetitious, after the initial training period any improvement due to a learning effect might be offset by a loss of motivation. A defect rate is calculated for each worker in a yearly evaluation. The results for 100 workers are given in the table below. Years Since Training Period Defect Rate High 6 9 9 Average 9 19 23 Low 7 8 10 Referring to the table above, which test would be used to properly analyze the data in this experiment to determine whether there is a relationship between defect rate and years of experience? ANOVA F test for main treatment effect Z test for difference in two proportions X2 test for equal proportions is higher than another X2 test for independence in a two-way contingency table

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