Stratified sampling divides the population into groups based on characteristics, ensuring the sample is representative and accurate for statistical analyses.
Stratified sampling is a sampling method that divides the population into groups or strata based on certain characteristics. This method ensures that the sample is representative of the whole population by including smaller subgroups in the sample, making it more accurate for statistical analyses. However, stratified sampling requires knowledge of population parameters before implementing the sampling process to create strata effectively.
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