Question

why is non_sampling error is more serious than sampling error. explain​

Answer 1

Explanation:

Sampling errors is the difference between a sample result and the census result, whereas, nonsampling data. Sampling Errors occur only in sample studies, whereas non-sampling errors occur in both census or sample studies. Hence, sampling error is more serious than non-sampling errors.

Answer 2

Answer:

Sampling errors is the difference between a sample result and the census result, whereas, nonsampling data. Sampling Errors occur only in sample studies, whereas non-sampling errors occur in both census or sample studies. Hence, sampling error is more serious than non-sampling errors