A large-scale experiment is best carried out when everything goes as planned. If nothing notable is observed, data analysis must be carried out at the end, and an experiment normally yields a large amount of data.
Data analysis is a very complex task, due to the vast amount of data obtained from the experiment. Various scenarios arise during the analysis. Computer simulations can only perform the most basic analysis, so researchers often need to read the data themselves and identify possible problem areas.
Generally, the focus is on significantly low or high values in the data.
Values that are slightly below the normal range are also considered normal.
Data obtained from medical research, particularly when testing organic matter, cells, or pathological changes, differs from fixed concepts in chemistry and physics.
Many factors can affect abnormalities in biological and human bodies.
A good example of this is routine blood testing.