Sampling error may be reduced by increasing the sample size but non-sampling error cannot be reduced by increasing the sample size.

Question

Quizplus · Accepted Answer

Non-sampling error is caused by factors such as biased data collection methods, flawed questionnaire design, or human error, and cannot be reduced simply by increasing the sample size. On the other hand, sampling error can be reduced by increasing the sample size, as this will provide a more representative sample of the population being studied.

Sampling Error May Be Reduced by Increasing the Sample Size