Sampling error
Definition
The difference between a sample statistic and the true population value, arising from the randomness of selection. It can be estimated from the sample itself, decreases with larger samples, and is quantified through standard errors and confidence intervals.
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 bias
- A systematic distortion in an estimate caused by a selection process that does not give all units a known probability of inclusion....
- 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 DataThe difference between a sample statistic and the true population value, arising from the randomness of selection. It can be estimated from the sample itself,...