What is the primary benefit of a stratified random sampling method compared to a simple random sample.
A. It is less bias than a simple random sample
B. It gives les variable results then a simple random sample
C. It is easier to carry out then a simple random sample
D. It allows cause-and-effect conclusions
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The primary benefit of a stratified random sampling method compared to a simple random sample is it is less biased than a simple random sample.
- The stratified sampling method classifies heterogeneous units into homogeneous units.
- The whole population is represented while selecting to scale back the bias.
- The formula of stratified random sampling is "(sample size/population size) x stratum size".
- In a simple random sampling, the population isn't segregated.
- Simple random sampling thus increases the researcher bias and confines the sampling to some proportion of the population only.
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