sampling bias
Sampling bias refers to a systematic error in statistical analysis that occurs when the samples are not representative of the entire population, leading to incorrect or misleading conclusions.
Requires login.
Related Concepts (22)
- convenience sampling
- coverage bias
- ecological fallacy
- fair-sampling assumption
- fallacy of composition in science
- fallacy of composition in statistics
- non-probability sampling
- nonresponse bias
- oversampling
- random sampling
- replication and generalizability in aspect experiments
- sampling error
- sampling frame
- selection bias
- self-selection bias
- snowball sampling
- statistical fallacies
- stratified sampling
- systematic sampling
- texas sharpshooter fallacy
- underrepresentation bias
- voluntary response bias