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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.

If these are very much complex for you at the very first level, then you must take care of each fundamental terms. Moreover, you must take care of these terms along with the proper concepts of how to explain all the answers of assignment. But, if you are confused with the problem provided, then Stratified random sampling Homework Help is ready to emit the problems with its perfect explanation.

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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