Proportion of defective items


Suppose that you wish to test a manager's claim that the proportion of defective items generated by a particular production process has decreased from its long-run historical value of 0.30. To carry out this test, you obtain a random sample of 300 items produced through this process. Computer-generated output indicates that the p-value for the sample is 0.01. Carefully interpret this p-value. At what levels of significance would you reject the null hypothesis?

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Basic Statistics: Proportion of defective items
Reference No:- TGS0119567

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