Sampling bias
Definition
A systematic distortion in an estimate caused by a selection process that does not give all units a known probability of inclusion. Unlike sampling error, bias does not decrease as sample size increases and cannot be quantified without an independent reference.
Related terms
- Cluster sampling
- A design in which the population is divided into naturally occurring groups called clusters, a random sample of clusters is selected, and...
- Sampling error
- The difference between a sample statistic and the true population value, arising from the randomness of selection. It can be estimated from...
- Sampling frame
- The list or description of all units from which the sample can be drawn. Any unit not on the frame cannot be...
- Simple random sampling
- A design in which every possible subset of a given size has an equal probability of being selected. It requires a complete...
- Stratified sampling
- A sampling design that divides the population into homogeneous subgroups (strata) and samples each stratum separately. Allows the auditor to apply higher...
Explained in
- Sampling Strategies and Representative DataA systematic distortion in an estimate caused by a selection process that does not give all units a known probability of inclusion. Unlike sampling error, bias...