Question

1. what does it mean if we have a nonsampling error? please explain.

Explanation:

Nonsampling error is an error in data collection, analysis, or interpretation that is not due to the sampling process. It can occur from issues like faulty survey questions, data entry mistakes, response bias (e.g., respondents lying or misunderstanding questions), or problems in data processing. Unlike sampling errors (which come from the variability in sample selection), nonsampling errors can affect any study, even a census, and are often related to how data is gathered, recorded, or analyzed rather than the sample's representativeness.

Answer:

A nonsampling error is an error in a study (such as a survey or data analysis) that is not caused by the sampling process. It arises from issues like flawed survey design (e.g., unclear questions), data entry mistakes, response bias (e.g., untruthful/misunderstood responses), or errors in data processing/analysis. Unlike sampling errors (due to sample variability), nonsampling errors can occur in any study (including censuses) and relate to data collection, recording, or analysis procedures rather than sample representativeness.