Real World Statistics: What to Do When It`s Not a Bell Curve 2017

  • 04 Apr 2017
  • Webinar

Description

Real World Statistics: What to Do When It`s Not a Bell Curve 2017 is a webinar that covers topics such as:

  • Subjective and quantitative methods exist to test the assumption that data follow the normal (or other selected) distribution
  • He normal or bell curve distribution is far more common in textbooks than it is in real factories
  • SPC charts can be created that work properly for non-normal distributions and have the same false alarm risk as the traditional Shewhart chart for a normal distribution
  • When the distribution might be non-normal. Processes with unilateral specification limits at one end and physical limits at the other-e.g. an upper specification limit for an impurity and the fact that it is impossible to get less than zero impurities-often signifies that the distribution will not be a bell curve
  • Process performance indices can be calculated that reflect accurately the nonconforming fraction (or defects per million opportunities) for non-normal distributions

Real World Statistics: What to Do When It`s Not a Bell Curve 2017 is intended for attendees from:

  • Quality Engineers
  • Manufacturing
  • Managers

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Important

Please, check "Real World Statistics: What to Do When It`s Not a Bell Curve" official website for possible changes, before making any traveling arrangements

Event Categories

Education: E-learning, Education Technologies & Methods, Training
Science: Engineering

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