how stratified or mixed sampling is different from systematic sampling
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Answer:
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Explanation:
What is the difference between simple random sampling and stratified sampling?
A simple random sample is used to represent the entire data population and. randomly selects individuals from the population without any other consideration. A stratified random sample, on the other hand, first divides the population into smaller groups, or strata, based on shared characteristics.
Simple random samples and stratified random samples are both common methods for obtaining a sample. A simple random sample is used to represent the entire data population and.randomly selects individuals from the population without any other consideration.
A stratified random sample, on the other hand, first divides the population into smaller groups, or strata, based on shared characteristics. Therefore, a stratified sampling strategy will ensure that members from each subgroup is included in the data analysis.