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What is Stratified random sampling?
Stratified random sampling is an excellent process of sampling that includes the partition of population in very small groups and each small group is called as strata. The characteristics of strata are based on share attributes of members. The value of random sample is determined in a perfect number proportional with the size of the stratum at the time of population comparison. The pooling of the subsets is an exact process of forming Stratified Random sampling.
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What are the advantages of using Stratified random sampling?
These are follows-
- The probability of getting error is minimal when the standard variation is lower.
- Measurement is completely effective and manageable when Strata is used to group the population.
- Population estimation is very important for population parameters.
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