Question

distinguish between sampling and non- sampling error​

Answer 1

Sampling error arises because of the variation between the true mean value for the sample and the population. On the other hand, the non-sampling error arises because of deficiency and inappropriate analysis of data. Non-sampling error can be random or non-random whereas sampling error occurs in the random sample only.

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Answer 2

Answer:

Sampling error is one which occurs due to unrepresentativeness of the sample selected for observation. Conversely, non-sampling error is an error arise from human error, such as error in problem identification, method or procedure used, etc.