Sampling vs Non-Sampling Error Severity
Which type of error is considered more serious — sampling error or non-sampling error?
- Sampling error, because it always leads to wrong conclusions
- Non-sampling error, because it is difficult to minimise even by taking a large sample — Correct Answer
- Both are equally serious
- Neither is serious if Census is conducted
Explanation:
Correct Answer Explanation
Non-sampling errors are more serious than sampling errors because they are difficult to minimise even by taking a large sample.
Key Points:
- Sampling error can be reduced by taking a larger sample.
- Non-sampling errors arise from sources like: Sampling Bias, Non-Response Errors, Errors in Data Acquisition.
- Even a Census (which has no sampling error) can contain non-sampling errors.
- Non-sampling errors are caused by recording mistakes, respondent bias, non-response, etc.
📚 About this Topic — CH-2: Collection of Data
This multiple choice question is from CH-2: Collection of Data, NCERT Books, Statistics for Economics. It has 4 options with a detailed explanation of the correct answer. Practice more MCQs from CH-2: Collection of Data to strengthen your preparation.
