Statistical Error
Systematic deviation from the true average value of a lot occurs when the physical collection and blending of individual specimens fail to represent the total population accurately. This composite sampling bias often arises when the proportion of material taken from different parts of the batch does not match the actual distribution of the material. If a technician only draws samples from the top layer of a shipment, the resulting data may not reflect the properties of the core.
Blending Failure
Improper mixing of primary increments during the creation of a laboratory sample leads to localized concentrations of a specific property. When composite sampling bias is present, the testing facility might report a pass for a lot that actually contains pockets of restricted chemicals or physical flaws. The risk is particularly high in raw natural fibres where moisture and contaminants are never distributed evenly.
Sample Weight
Accuracy in the final test result requires each primary specimen to be of equal weight or volume before the blending process begins. Failure to maintain these proportions gives undue influence to certain parts of the lot.
Testing Reliability
Verification of the sampling plan is necessary to ensure that the composite truly reflects the bulk material. Proper procedures require a random selection of increments across the three dimensions of the cargo container.