Career Training >> Online Information TechnologyTraining >> Online ISC2 Training >> Calculating Process Capability Training Seminar
CourseID: 5593 | Course Duration: 1 | Media: Online | CEUs: PMI PDUs 1.5
 
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Calculating Process Capability Training Class

 
 
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Calculating Process Capability Training Seminar

When process data fails to produce a normal distribution, special indices are required to calculate process capability. This course teaches Black Belt candidates the indices for non-normal process capability, and discusses how to transform non-normal data for use in standard statistical tests. It also examines the difference between continuous and discrete data, and the distributions used for capability analysis of discrete data.Six Sigma is a registered Trademark of Motorola Corporation, and all rights, title and interest in Six Sigma belongs to Motorola.
 
     
     
   
     
     
  Price  
  $74.95  
     
  Agenda  
  Process Capability for Non-normal Data
- identify the benefits of data transformation.
- determine the elements needed for finding non-normal process capability in a workplace scenario.
- correctly calculate and interpret process capability indices for non-normal data using the percentile method.
- match methods of working with non-normal data with examples of their use.
Using Process Capability for Discrete Data
- identify the benefits of using process capability for discrete data.
- differentiate between examples of continuous and discrete data.
- determine whether an appropriate conversion of a continuous measure into a discrete measure has been achieved in a given workplace scenario.
- calculate the correct DPMO and determine the sigma level for discrete data.
 
     
  Audience  
  Candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project  
     
  Media  
  Online  
     
  Renewal Price  
  0  
     
  Course Duration  
  1  
     
  Comments  
  Estimated time to complete the course: 1:30:00  
     
     
 
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