Test your basic knowledge |

Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Affinity Diagrams






2. Define features.






3. In a regression - what does the standard error of the estimate tell you?






4. In the Service Quality Gap Model - what is Gap 4?






5. Statistical Hypothesis






6. Define yield.






7. Define serviceability.






8. Residual






9. What is the center line of a p-chart?






10. Uses of regression - Control






11. What is a CAVE man?






12. Define benchmarking.






13. What is a run chart?






14. With Six Sigma capability - how many defects per million opportunities would you see?






15. Presence of interaction effect






16. What is a Gage R&R?






17. Process check sheets






18. In a regression - what does R-square tell you?






19. If you can only collect categorical data - what type of SPC charting can you do?






20. If your process is capable at two sigma - what percentage of the output will you have to inspect to find defectives?






21. Approximately what percent of a normal distribution falls between ± 1 standard deviations from the mean?






22. Risk Priority Number RPN






23. What does the abbreviation UCL stand for?






24. Disadvantages of DOE

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25. Where should specifications fall in relation to ± 3 sigma for the process in order for a process to be capable.






26. Manual Test for Nomality






27. In a Z table - what is Z?






28. What is Kaizen?






29. Non-random patterns (Run Charts)






30. Histogram by Hand






31. What quality tool formally incorporates the voice of the customer?






32. What is an affinity diagram?






33. What is Little's Law?






34. The data points on an SPC p-chart of defective percent plot below the mean. Is this good or bad?

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35. For your SPC sample you weigh bags of potatoes. Is this variable or attribute SPC?






36. How are LQL and AQL determined in an acceptance sampling plan?






37. How does Juran define quality?






38. What is the Deming Prize?






39. Failure cause






40. In a regression - what does the p value of F tell you?






41. Design of Experiments (DOE) approach






42. Stratified defect check sheets






43. Affinity Diagrams






44. When either attribute or variable measures could be used for SPC - why might attribute measurement be preferred?






45. Which quality guru developed the concept of loss to society?






46. Cause and Effect Diagrams






47. DFMEA






48. Who first studied randomness in industrial processes






49. There are two milling machines in the shop. Data has been collected on one to compute control limits for both. This is acceptable SPC practice - true or false and why?






50. Taguchi's experimental designs are of this type.