Question

distinguish between biased and unbiased error with basis
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Answer 1

Answer:

Defining Error and Bias

In survey research, error can be defined as any difference between the average values that were obtained through a study and the true average values of the population being targeted. ... Whereas error makes up all flaws in a study's results, bias refers only to error that is systematic in nature

Answer 2

Explanation:

The difference between biased and unbiased methods. Method A presents a systematic deviation from the true value and while the estimation procedures are repeated, the cumulative mean approaches to a steady value which is different from the real (and most of the times, hidden) value. Method B, on the other hand, is an unbiased method, which converges to the real value as the procedure is repeated.