Considerig and check subsample variation

When analyzing a heterogeneous sample, several subsamples for a large cup are acquired, and finally an average result from all the subsamples is showed as result. Is to the average result to which we give normally importance and we compared to the lab value to know the accuracy of our measurement. Anyway is important to see the several and individual results for the different subsamples.

One reason for this is to check how homogeneous is our sample, looking to the standard deviation of the predictions for each of the constituents. But we can check that depending of the math treatment we have apply in the equation, the standard deviation of the subsample predictions change and in some cases became quite large. This is something we have to consider to make a robust calibration.

 

Remember always to look to the subsample spectra and get conclusions comparing the spectral RMS with the SD for the different subsamples.