Non-sampling errors can be minimised by taking large samples (true/ false).

Non-sampling errors can be minimised by taking large samples. 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. So, Non-sampling Errors maximises by taking large samples.