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| 1. |
Distinguish between (i) sampling, and (ii) non-sampling errors. |
| Answer» Solution :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. | |