Extrapolating the Inventory Sampling 
Use
The principle behind inventory sampling is that the count results of the randomly selected stock management units are extrapolated to all stock management units of the sampling area. Moreover, the count results of the complete-count area are taken into account in the total calculation. The system determines an estimated value for the stock population of the inventory sampling from both results.
There are two types of extrapolation:
Various possible mathematical procedures can be used for the extrapolation. The SAP System currently supports the layered mean-value estimation procedure. The following calculations are performed during layered mean-value estimation, based on the values of the posted sample elements:
Procedure
Field |
Data |
Inventory sampling |
Quoted inventory sampling number |
Year |
Current year |

After the final extrapolation, the inventory sampling is classed as either successful or unsuccessful. In the case of a provisional extrapolation the inventory sampling can be classed as conditionally successful.
If the inventory sampling is successful or conditionally successful, then you can assume that the book inventory of all the materials included in the inventory sampling agrees with the actual stocks.
If the inventory sampling is not successful, then you must assume that the inventory accounting shows large variances against the actual stocks. For this reason, a complete physical inventory must be performed for all uncounted elements.
In the Exit processing dialog box, choose Yes.