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Sampling error leads to random error. Sampling bias leads to systematic error.
The thing that can be done to reduce bias is sampling random things
Sampling bias.
Sampling error occurs when the sampling protocol does not produce a representative sample. It may be that the sampling technique over represented a certain portion of the population, causing sample bias in the final study population.
Random sampling ensures that a bias in the sampled subjects is avoided. It allows for a diverse and fairly chosen sample of the intended population.