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

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Solution

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.

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Similar questions

State whether the following statements are True or False.

(i) There are many sources of data. (True/False)

(ii) Telephone survey is the most suitable method of collecting data, when the population is literate and spread over a large area. (True/False)

(iii) Data collected by investigator is called the secondary data. (True/False)

(iv) There is a certain bias involved in the non-random selection of samples. (True/False)

(v) Non-sampling errors can be minimised by taking large samples. (True/False)

Sampling error can be reduced by ___ .

Which of the following errors is more serious and why?

(a) Sampling error

(b) Non-sampling error

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