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Question:

A control limit
  1. Indicates the boundary of the bell curve in a normal distribution
  2. Indicates that a process event or measurement is likely to fall within that limit
  3. Indicates that a process event or measurement is likely to fall outside that limit
  4. Indicates the customer's desired upper or lower performance limits






Q2. Lot tolerance percent defective (LTPD) is a level of lot quality specified by the ______________.

  1. Consumer
  2. Producer
  3. Supplier
  4. Sampling Plan
Correct Answer

Q3. Consider that for a particular process, the p has shifted to .4 and the process has gone out of control. The corresponding value of beta is found to be .3356. The value of Average Run Length is:

  1. 2.5
  2. 1.5 ((1/1-beta) provides us with average run length)
  3. 1.0
  4. 2.7
Correct Answer

Q4. When output product of several sources is fed into a common stream, the pattern of the control chart expected is:

  1. Stratification
  2. Trend
  3. Mixture
  4. Cyclic Pattern
Correct Answer

Q5. ______________ is a graphic tool for defining the relationship between customer desires and the firm/product capabilities.

  1. House of Quality
  2. Affinity diagram
  3. Arrow diagram
  4. None of the give option
Correct Answer

Q6. The value of Var(3 - 4X) is:

  1. 5120 / 9
  2. 1280 / 81
  3. 5120 / 81
  4. 1280 / 9
Correct Answer

Q7. inspection is part of the ______________

  1. Quality improvement
  2. Quality circle
  3. quality control
  4. Quality Planning
Correct Answer

Q8. A ______________ diagram shows the location of defects in any unit. This diagram is used in the analyse step of DMAIC.

  1. Affinity
  2. Relations
  3. Defect Concentration
  4. Scatter
Correct Answer

Q9. The ______________ sum of squares measures the variability of the observed values around their respective treatment means.

  1. treatment
  2. error
  3. interaction
  4. total
Correct Answer

Q10. What is the purpose of a simple linear regression?

  1. To predict scores on a dependent variable from scores on a single independent variable
  2. To predict scores on an independent variable from scores on a single dependent variable
  3. To predict scores on an independent variable from scores on multiple dependent variables
  4. To predict scores on a dependent variable from scores on multiple independent variables
Correct Answer








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