Sampling Error is the deviation of the sample statistics from the population parameters (i.e. the true value)
Biased Sampling Error
Biased Sampling Error is the error that is systematic in nature and is introduced in the process of sampling. Bias could be introduced either by researcher or by respondent or by the sampling method. Minimizing biased sampling error should be the first priority in any sampling strategy as it is not possible to capture it using statistics
Unbiased Sampling Error
Unbiased Sampling Error is the non-systematic error which is introduced by the fact that even within a population the individual objects are different. This is the error which occurs because of chance as we only study a part of the population and not the whole population. Provided we have an unbiased sample, statistics could help us determine this error
An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Natwar Lal.
Applause for the respondents - Natwar Lal.
Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.