1.

Explain sampling and non-sampling errors?

Answer»

A non-sampling error is a statistical term that refers to an error that results during data collection, causing the data to differ from the true values. A sampling error is limited to any differences between sample values and universe values that arise because the sample size was limited.



Discussion

No Comment Found

Related InterviewSolutions