What is a 'NonSampling Error'
A nonsampling error is a statistical error caused by human error to which a specific statistical analysis is exposed. These errors can include, but are not limited to, data entry errors, biased questions in a questionnaire, biased processing/decision making, inappropriate analysis conclusions and false information provided by respondents.
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BREAKING DOWN 'NonSampling Error'
Nonsampling errors are part of the total error that can arise from doing a statistical analysis. The remainder of the total error arises from sampling error. Unlike sampling error, increasing the sample size will not have any effect on reducing nonsanpling error. Unfortunately, it is virtually impossible to eliminate nonsampling errors entirely.
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