How To Fix QS126 - Select a smaller class width

SAP Error Message - Details

• Message type: E = Error

• Message class: QS - QM: Master data

• Message number: 126

• Message text: Select a smaller class width

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message QS126 - Select a smaller class width ?

  The SAP error message QS126 ("Select a smaller class width") typically occurs in the context of quality management and statistical analysis within SAP systems, particularly when dealing with control charts or other statistical evaluations. This error indicates that the class width you have selected for your data analysis is too large for the number of data points or the range of values you are working with.
  Cause:
  
  Class Width Too Large: The class width you have defined for your data is too broad, which can lead to insufficient granularity in the analysis.
  Insufficient Data Points: If the number of data points is low, a large class width may not provide meaningful insights or may not allow for proper statistical evaluation.
  Data Range: The range of your data may not be suitable for the class width you have selected, leading to this error.
  
  Solution:
  
  Reduce Class Width: Go back to the settings where you define the class width and select a smaller value. This will help in creating more classes and allow for a more detailed analysis.
  Increase Data Points: If possible, try to gather more data points to ensure that the analysis is robust and can accommodate a wider class width.
  Review Data Range: Ensure that the range of your data is appropriate for the analysis you are conducting. If the data range is too narrow, consider adjusting your data collection or analysis parameters.
  
  Related Information:
  
  Control Charts: This error often arises when setting up control charts in SAP Quality Management (QM). Control charts require careful consideration of class widths to ensure they are effective.
  Statistical Process Control (SPC): Understanding the principles of SPC can help in selecting appropriate class widths and interpreting the results correctly.
  SAP Documentation: Refer to SAP Help documentation for specific guidelines on setting up control charts and statistical evaluations, as it may provide additional insights into best practices.
  
  If you continue to experience issues after making these adjustments, consider consulting with your SAP support team or a specialist in SAP QM for further assistance.