M7620 - The min. sample size per stratum should be equal to or greater than 30

SAP Error Message - Details

• Message type: E = Error

• Message class: M7 - Inventory Management and Physical Inventory

• Message number: 620

• Message text: The min. sample size per stratum should be equal to or greater than 30

What causes this issue?

In the field "minimum sample size per stratum", you entered a number
smaller than 30.

System Response

The extrapolation procedure is based on mean-value estimation.
A prerequisite for this is that the mean values of possible samples per
stratum form a normal distribution. This is reached with a high degree
of probability with a number of 30 elements or more. Therefore, the
system expects you to enter a number equal to or greater than 30.

How to fix this error?

Correct your entry, if required.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message M7620 - The min. sample size per stratum should be equal to or greater than 30 ?

  The SAP error message M7620, which states "The min. sample size per stratum should be equal to or greater than 30," typically occurs in the context of statistical sampling within SAP, particularly when using the SAP Quality Management (QM) module. This error indicates that the minimum sample size required for a statistical stratum is not being met, which can affect the validity of the sampling process.
  Cause:
  
  Insufficient Sample Size: The primary cause of this error is that the sample size defined for a particular stratum is less than the minimum required size of 30. This is often a requirement for statistical validity in quality control processes.
  Stratum Definition: The way strata are defined in the sampling procedure may lead to smaller sample sizes than expected.
  Configuration Settings: The settings in the quality management configuration may not be aligned with the requirements for statistical sampling.
  
  Solution:
  
  Increase Sample Size: Adjust the sample size for the stratum in question to ensure it is 30 or greater. This can be done in the sampling procedure settings.
  Review Stratum Definition: Check how strata are defined in your sampling plan. If the strata are too narrowly defined, consider broadening them to increase the sample size.
  Configuration Adjustment: Review the configuration settings in the SAP QM module to ensure they meet the requirements for statistical sampling. This may involve consulting with a QM specialist or SAP consultant.
  Use Alternative Sampling Methods: If increasing the sample size is not feasible, consider using alternative sampling methods that do not have the same minimum sample size requirements.
  
  Related Information:
  
  Statistical Sampling: Understanding the principles of statistical sampling can help in configuring the sampling plans correctly. Familiarize yourself with concepts such as stratified sampling, sample size determination, and statistical significance.
  SAP Documentation: Refer to the official SAP documentation for the QM module for detailed guidance on configuring sampling procedures and understanding error messages.
  Quality Management Best Practices: Implementing best practices in quality management can help avoid such errors in the future. This includes regular reviews of sampling plans and ensuring they are aligned with industry standards.
  
  If the issue persists after making the necessary adjustments, it may be beneficial to consult with SAP support or a qualified SAP consultant for further assistance.