Reducing Sampling Error
Sampling error can be reduced by:
- Using non-random sampling methods
- Reducing the sample size
- Taking a larger sample — Correct Answer
- Using mailing questionnaire method
Explanation:
Correct Answer Explanation
It is possible to reduce the magnitude of sampling error by taking a larger sample.
Key Points:
- A larger sample is more representative of the population, reducing the gap between the sample estimate and the true population parameter.
- However, sampling error can never be completely eliminated unless the entire population is surveyed (Census).
- Non-sampling errors, on the other hand, are more serious because they cannot be minimised just by increasing sample size.
- Even a Census can contain non-sampling errors — illustrating why data quality matters beyond just sample size.
📚 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.
