Newcastle University School of Chemical Engineering and Advanced Materials
CONTENTS
Foreword
What is SPC ?
Tools for SPC
Flow charts
  Run charts
  Pareto charts
  Cause and effect diagrams
  Frequency histograms
  Control charts
common cause variations
    special cause variations
    how they work
    types of charts
    assumptions
    properties of the normal PDF
    interpretation
    hypothesis testing
    run rules for Shewhart charts
    CUSUM charts
    relative merits
Process Capability
concepts
  relative capability
  capability index
  performance index
  the message
Summary
References
Copyright Information

 

 
SPC Tools - Frequency histograms
  • The frequency histogram is a very effective graphical and easily interpreted method for summarising data
  • The frequency histogram is a fundamental statistical tool of SPC
  • It provides information about:
    • the average (mean) of the data
    • the variation present in the data
    • the pattern of variation
    • whether the process is within specifications

    Example frequency histogram

Drawing Frequency Histograms

In drawing frequency histograms, bear in mind the following rules:

  • Intervals should be equally spaced
  • Select intervals to have convenient values
  • Number of intervals is usually between 6 to 20
    • Small amounts of data require fewer intervals
    • 10 intervals is sufficient for 50 to 200 readings

 

 

    Written by: M. Tham