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The stratified random sampling is a sampling method that may allow for more accurate inferences to be made about a population.
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Stratified random sampling is a sampling method that may allow for more accurate inferences to be made about a population.
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Stratified random sampling:
Stratified random sampling is a method of sampling that involves the division of a population into smaller subgroups known as strata. In stratified random sampling, or stratification, the strata are formed based on members' shared attributes or characteristics, such as income or educational attainment.
In stratified random sampling, the strata are formed based on member's shared characteristics (e.g. female or male, occupation, education) or attribute (e.g. black or white).
Hence, The stratified random sampling is a sampling method that may allow for more accurate inferences to be made about a population.
It is the true statement.
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