Make a clear distinction between sampling and non sampling error.

1.	Make a clear distinction between sampling and non sampling error.
Answer» Answer: 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:

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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Make a clear distinction between sampling and non sampling error.​

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Make a clear distinction between sampling and non sampling error.