A quality control manager wants to determine percentage of defective light bulbs in the production line which of the following sampling methods would most likely lead to a valid interference? Testing every 15th light bulb in the production line?
Testing every 15th light bulb in the production line would not likely lead to a valid inference. This sampling method may introduce bias if there is any systematic pattern to when defects occur in the production process. It would be better to use random sampling or systematic random sampling to ensure a more representative sample of the overall production line.
Is the answer testing the last 4000 light bulbs in the production line?
Testing the last 4000 light bulbs in the production line may not lead to a valid inference because it may introduce bias if there have been changes in the production process over time that could affect the defect rate. It is recommended to use random sampling or systematic random sampling to ensure a more representative sample of the overall production line.
Is the answer testing the first 2000 light bulbs in the production line?
Testing the first 2000 light bulbs in the production line may not lead to a valid inference because the defect rate at the beginning of the production line could be different from the defect rate in subsequent batches. It is recommended to use random sampling or systematic random sampling to ensure a more representative sample of the overall production line.
Is the answer retesting 100 light bulbs that have already been tested?
Retesting 100 light bulbs that have already been tested would not likely lead to a valid inference, as it would not provide any new information about the overall defect rate in the production line. It would be more beneficial to test a new, random sample of light bulbs from the production line to determine the percentage of defective bulbs accurately.
then whats the answer?
The most appropriate sampling method to determine the percentage of defective light bulbs in the production line would be systematic random sampling. This method involves selecting a random starting point and then selecting every nth item from the production line for testing, ensuring that each item has an equal chance of being selected. This method helps to reduce bias and provides a more representative sample of the entire production line.
Equality control manager wants to determine the percentage of defective light bulbs in the production line which of the following sampling methods would most likely lead to a valid interference? The answers are testing every 5th light bulb in the production line testing the last 4000 bulbs in the production line? Testing the first 2000 light bulbs in the production line? Retesting 100 light bulds that have already been tested? Which one is the answer
