Difference between sampling and non sampling error?

1.	Difference between sampling and non sampling error?
Answer» Sampling error- it is the differences between the actual value of a parameter of the population and its estimate from the sample.Non sample error- the errors which arises at the stages of a ascertainment and analysis of data are called non sampling eror .These are more serious then samping error because a sampling can be minimise by taking a larger sample. It is difficult to minimise non sampling error even by taking a large sample. Some of the non sampling errors are -1.errors in data acquisition.2.non response errors.3.sampling bias.

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