Nonsampling errors tend to increase as sample size increases.

Question

Quizplus · Accepted Answer

Nonsampling errors are errors that are not related to the process of sampling, such as errors in data collection, processing, or analysis. These errors are not affected by sample size, and may even be reduced with larger sample sizes due to increased accuracy and representativeness of the sample. Sampling errors, on the other hand, tend to decrease as sample size increases, as a larger sample provides a more accurate estimate of the population.

Nonsampling Errors Tend to Increase as Sample Size Increases