Iron ores; Experimental methods for checking the bias of sampling

This document outlines an experimental methodology designed to evaluate sampling bias in the context of iron ore operations. It provides a structured approach for assessing the reliability of sampling procedures by comparing results obtained from different sampling systems or methods. The content focuses on defining the statistical framework necessary for detecting discrepancies that may arise during the extraction and preparation of material specimens. Through detailed procedural guidelines, it establishes criteria for identifying significant deviations that could affect the accuracy of grade assessments and subsequent commercial transactions. The approach involves systematic comparisons between primary and secondary sampling data sets, utilizing specific statistical tests to determine the presence or absence of bias within the sampling process. This guidance supports quality assurance initiatives in the mineral industry by offering a validated means to verify sampling integrity without relying on absolute reference values. The framework emphasizes practical application in field conditions while maintaining rigorous scientific principles to ensure consistent evaluation outcomes across different operational environments.