Definition of Sampling Bias
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Question (English)
Sampling bias occurs when:
- The sample is too large
- The sampling plan excludes some members of the target population from the sample ✓ Correct
- The respondents answer all questions correctly
- The enumerators are highly trained
Explanation:
Correct Answer Explanation
Sampling Bias occurs when the sampling plan is such that some members of the target population could not possibly be included in the sample.
Types of Non-Sampling Errors:
- Sampling Bias: Systematic exclusion of some members from the sample.
- Non-Response Errors: Occur when the interviewer cannot contact a person or the person refuses to respond — sample may not be representative.
- Errors in Data Acquisition: Arise from recording of incorrect responses, e.g., writing 13 instead of 31 (transposition error).
Example of Sampling Bias:
Conducting a telephone survey when many target respondents do not own phones — they are systematically excluded.
📚 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.