Which sampling error can be minimised by taking a larger sample?
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Non-sampling errors can be minimised by taking large samples (true/ false). The errors that are related to the collection of data are termed as Non-sampling Errors. If the field of investigation or the population size is large, then the possibility of Non-sampling Errors also increases.
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