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Which sampling techniques have the potential to limit bias the most? Which are the least likely...

Which sampling techniques have the potential to limit bias the most? Which are the least likely to limit bias?
- Systematic Random Sample
- Cluster Sample
- Straitified Sample
- Multi- Stage Sample
- Voluntary Sample
- Convience Sample
Math   Statistics-And-Probability   
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Answer #1

The sampling techniques that can limit the bias most are systematic random sampling, cluster sampling, stratified random sampling and multi-stage sampling.

Whereas voluntary sampling and convenience sampling can least limit the bias.

The reason being that voluntary and convenience sampling are non-probability sampling schemes where in the every unit of population do not have equal chance of getting selected in the sample.

Under voluntary sampling technique, the sample units are self-selected whereas in convenience sampling, sampling units are the ones that are convenient and easy to sample.

In the other sampling schemes, the factor of randomness is present that is samples are randomly selected which in turn assures that every unit has equal chance of getting selected. This tremendously helps to eliminate the bias.

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