Stratified samples are typically not used in real applications because they provide less accurate estimates of population parameters for a given sampling cost.

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Stratified sampling is often used in real applications because it can provide more accurate estimates of population parameters than simple random sampling, especially when the population is heterogeneous. By dividing the population into homogeneous subgroups and sampling from each subgroup, it ensures that important subgroups are represented in the sample.

Stratified Samples Are Typically Not Used in Real Applications Because