Nonsampling errors can be reduced by increasing the size of a sample.

Question

Quizplus · Accepted Answer

Nonsampling errors are errors that occur in data collection, data processing, or data analysis that are not related to the sample size. Increasing the sample size may reduce sampling errors but it will not necessarily reduce nonsampling errors. Nonsampling errors can be reduced by improving the quality of data collection methods, data cleaning processes, data validation, and data analysis techniques.

Nonsampling Errors Can Be Reduced by Increasing the Size of a Sample