About this document
Understanding Sampling vs Non-Sampling Errors by chipp is a document available to read on EtoBox.
Sampling error occurs when a sample is unrepresentative of the population it is drawn from. Non-sampling error arises from issues other than sampling, such as errors in data collection or analysis. The key differences are that sampling error is statistical and related to sample size, while non-sampling error can be random or non-random and is not affected by sample size.
- Author
- chipp
- Language
- EN