What is error sampling? Explain sampling and Non-sampling error.
Answers
Answered by
5
Difference Between Sampling and Non-Sampling Error
Error sampling is one which occurs due to unrepresentativeness of the sample selected for observation. Conversely, non-sampling error is an error arise from human error, such as error in problem identification, method or procedure used, etc
Answered by
1
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.
Explanation:
Similar questions