Sample size affects both sampling and non-sampling errors.

Name: Sample size affects both sampling and non-sampling errors.
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Quizplus · Accepted Answer

Sample size can affect both sampling error (the error due to the fact that the sample is not a perfect representation of the population) and non-sampling error (all other types of error that can occur in a study, such as measurement error or response bias). Increasing the sample size can help reduce sampling error, but may not necessarily reduce non-sampling error.

Sample Size Affects Both Sampling and Non-Sampling Errors