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Sample Questions

This resource covers essential concepts from weeks 1-6 of a Six Sigma training program. It includes multiple-choice questions, true/false questions, and short answer prompts that focus on fundamental topics such as SIPOC, PDCA, and the 6S methodology. The content is designed to assess and reinforce your understanding of process improvement tools and statistical analysis relevant to manufacturing environments. Ideal for students and professionals pursuing Six Sigma certification, this guide helps to solidify key principles in a structured format.

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Sample Questions

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  1. Sample Questions Coverage: Week 1-6

  2. Multiple Choice - 1 • What is a process? • A system used in manufacturing • A six sigma computer application • Any repetitive activity in business environment • The opposite of a concess

  3. Multiple Choice - 2 • All of the following are phases in 6s methodology except: • Define • Analyze • Interpret • Measure

  4. Multiple Choice - 3 • What is SIPOC? • Suppliers-Inputs-Process-Outputs-Customer • Suppliers-Inputs-Planning-Outputs-Customer • Suppliers-Inputs-Planning-Organization-Customer • Suppliers-Inputs-Planning-Outputs-Control

  5. Multiple Choice - 4 • Who introduced PDCA? • W.E. Deming • J.M. Juran • W.A. Shewhart • A.B. Godfrey

  6. True / False - 1 • Tool wear can cause non normal distribution • True • False

  7. True / False - 2 • Control limits are typically set at +/- 2 standard deviations from the target of control chart • True • False

  8. True / False - 3 • VOC is derived from CTQ • True • False

  9. True / False - 4 • Different operators producing the same Y cannot cause asymmetric distributions • True • False

  10. Short Answer - 1 • Why 6s is associated with 3.4 dpmo?

  11. Short Answer – 2 • Many manufacturing problems involve the accurate matching of machine parts such as shafts that fit into a valve hole. A particular design requires a shaft with a diameter of 22.000 mm, but shafts with diameters between 21.900 mm and 22.010 mm are acceptable. Suppose that the manufacturing process yields shafts with diameters normally distributed with a mean of 22.002 mm and a standard deviation of .005 mm. If a random sample of 36 shafts is chosen from the above process, what is the probability of the sample mean being above 20.003 mm?

  12. Data Analysis - 1 • Questions related to Table 19.3 on pp.613-614.

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