METHODS OF DATA COLLECTION
CONCEPT OF SAMPLING AND OTHER CONCEPTS RELATED TO SAMPLING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Sampling error
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Non-sampling error
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Either A or B
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None of the above
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Detailed explanation-1: -Non-sampling errors are more serious than sampling errors because a sampling error can be minimised by taking a larger sample but it is difficult to minimise non-sampling error, even by taking a large sample.
Detailed explanation-2: -A non-sampling error is a term used in statistics that refers to an error that occurs during data collection, causing the data to differ from the true values. A non-sampling error refers to either random or systematic errors, and these errors can be challenging to spot in a survey, sample, or census.
Detailed explanation-3: -sampling error has a far more dangerous friend: sampling bias. Sampling error is when a randomly chosen sample doesn’t reflect the underlying population purely by chance; sampling bias is when the sample isn’t randomly chosen at all.