fair-sampling assumption
The "fair-sampling assumption" refers to the assumption that when selecting a sample for research or analysis, every individual or element in the population has an equal chance or opportunity to be included in the sample.
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Related Concepts (16)
- bell inequality loopholes
- cluster sampling
- convenience sampling
- non-probability sampling
- probability sampling
- random sampling
- sample representativeness
- sample size
- sampling bias
- sampling distribution
- sampling error
- sampling frame
- sampling technique
- sampling variability
- stratified sampling
- systematic sampling
Similar Concepts
- algorithmic fairness
- assumption-based reasoning
- assumptions
- assumptions and generalizations in research
- biased sampling methods
- fair share
- fair treatment
- fairness
- fairness experiments in wealth distribution
- false assumptions
- flawed assumptions
- locality assumption
- random sampling error
- sampling errors
- statistical sampling