Question

Which of the following errors are more serious and why?
a)Sample b)Census

Answer 1

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.

Explanation:

Answer 2

Answer:

♧ᴀɴsᴡᴇʀ♧

A non-sampling error is more serious than a sampling error as a non-sampling error cannot be minimised by taking a larger sample size. A non-sampling error arises because of errors in the collection of data such as measurement error, non-response error, misinterpretation by respondents and calculation error.

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