A manufacturer considers his production process to be out of control when defects exceed 3.1%. In a random sampl the defect rate is 9.4% but the manager claims that this is only a sample fluctuation and production is not really out 1% level of significance, use the p-value method to test the manager's claim. Enter the p-value. (Round your answer to nearest thousandth.) When using tables to find a tight range for the p-valu the boundaries of the interval (not 0 or 1) found using the tables. 1. Extract Information: 2. Original Claim: 3. Н 4. Test Statistic: 6. p-Value: 5. Distribution (Graphically): 7. Statistical Conclusion: 8. Final Words:

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Author:Amos Gilat
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A manufacturer considers his production process to be out of control when defects exceed 3.1%. In a random sample of 135 items,
the defect rate is 9.4% but the manager claims that this is only a sample fluctuation and production is not really out of control. At the
1% level of significance, use the p-value method to test the manager's claim.
Enter the p-value. (Round your answer to nearest thousandth.) When using tables to find a tight range for the p-value, enter one of
the boundaries of the interval (not 0 or 1) found using the tables.
1. Extract Information:
2. Original Claim:
3. Hg:
Hi
4. Test Statistic:
6. p-Value:
5. Distribution (Graphically):
7. Statistical Conclusion:
8. Final Words:
Transcribed Image Text:A manufacturer considers his production process to be out of control when defects exceed 3.1%. In a random sample of 135 items, the defect rate is 9.4% but the manager claims that this is only a sample fluctuation and production is not really out of control. At the 1% level of significance, use the p-value method to test the manager's claim. Enter the p-value. (Round your answer to nearest thousandth.) When using tables to find a tight range for the p-value, enter one of the boundaries of the interval (not 0 or 1) found using the tables. 1. Extract Information: 2. Original Claim: 3. Hg: Hi 4. Test Statistic: 6. p-Value: 5. Distribution (Graphically): 7. Statistical Conclusion: 8. Final Words:
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