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Upcoming Dates and Locations

Virtual seminars run as 1/2-day sessions. In-person classes run as full-day sessions. See the virtual session daily class times.
There are no public training classes scheduled right now but this class can be delivered privately to 6 or more people at any time. Ask us for details!

Course Details

Objectives

  • Recognize the difference between common cause variation (inherent to any process) and special cause variation (that can be assigned to a specific root cause).
  • Learn the appropriate business strategy to deal with common cause and special cause variation.
  • Understand how plotting data helps to determine whether or not special cause variation is present in the process.
  • Learn to distinguish between data patterns established over time and data patterns unrelated to time.
  • Learn how to study the relationship between two variables through the use of scatter plots.
  • Use MinitabTM in support of statistical tools.

Topics

  • Understanding variation
  • Types of variation and appropriate reaction
  • Creating and interpreting plots of variation
    • Time plots
    • Individuals control charts
  • Control limits and specification limits
  • Studying the distribution of numerical data
    • Frequency distribution (histograms, dot plots, and box plots)
  • Pareto principle and Pareto analysis
  • Time plots and histograms
  • Scatter plots

Who Should Attend

Managers and professionals who are engaged in analyzing process data in order to improve the effectiveness and efficiency of their organization’s processes, as well as associated quality, engineering, manufacturing, process, and industrial personnel. Also valuable for anyone involved in a Lean and/or Six Sigma deployment.

This course requires the use of MinitabTM statistical software; attendees are responsible for bringing laptops with MinitabTM to the class.

  • Virtual Half-Days

  • In-Person Full-Days

  • CEUs

    2.5

Virtual Session Details

Oriel STAT A MATRIX’s Goal

Help our life science customers meet regulatory requirements, boost efficiency, and improve patient outcomes

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