How To Fix /SAPAPO/AMON_LIST075 - MLR: t-test lower limit not reached by &UNI_PERCENT %

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/AMON_LIST -

• Message number: 075

• Message text: MLR: t-test lower limit not reached by &UNI_PERCENT %

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/AMON_LIST075 - MLR: t-test lower limit not reached by &UNI_PERCENT % ?

  The SAP error message /SAPAPO/AMON_LIST075 MLR: t-test lower limit not reached by &UNI_PERCENT % typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly when dealing with statistical forecasting or planning.
  Cause:
  This error message indicates that during the execution of a statistical test (specifically a t-test), the lower limit for the test was not reached by a specified percentage (&UNI_PERCENT). This usually means that the forecast model or the data being analyzed does not meet the statistical criteria necessary for reliable forecasting. The t-test is used to determine if the means of two groups are statistically different from each other, and if the lower limit is not reached, it suggests that the data may not be statistically significant.
  Possible Causes:
  
  Insufficient Data: There may not be enough historical data points to perform a reliable statistical analysis.
  Data Quality Issues: The data may contain outliers, missing values, or inaccuracies that affect the statistical calculations.
  Model Configuration: The forecasting model may not be configured correctly, or the parameters set for the statistical tests may be too strict.
  Seasonality or Trends: The data may exhibit seasonality or trends that are not being accounted for in the model.
  
  Solution:
  To resolve this error, consider the following steps:
  
  
  Review Data Quality:
  
  Check for missing values, outliers, or anomalies in the historical data.
  Clean the data to ensure it is suitable for statistical analysis.
  
  
  
  Increase Data Volume:
  
  If possible, gather more historical data to improve the reliability of the statistical tests.
  
  
  
  Adjust Model Parameters:
  
  Review the configuration of the forecasting model and adjust the parameters related to the t-test.
  Consider using different statistical methods or models that may be more appropriate for the data.
  
  
  
  Analyze Seasonal Effects:
  
  If the data has seasonal patterns, ensure that the forecasting model accounts for these effects.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or help resources for specific guidance on the statistical methods used in your APO system.
  
  
  
  Seek Expert Help:
  
  If the issue persists, consider consulting with an SAP APO expert or a data analyst who can provide deeper insights into the statistical methods and data handling.
  
  
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any known issues or patches related to this error message.
  APO Documentation: Review the SAP APO documentation for details on statistical forecasting and the t-test.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.