It may be consistent, but this consistency may be wrong.
Intra-batch difference refers to the numerical difference between the average and true value of a set of repeated measurements.
Accuracy means that the measured value is the same for several repeated measurements.
High accuracy, that is, low batch-to-batch difference, means that the results of multiple measurements of the same sample are very different.
Several cases of accuracy and precision:
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