This question deals with concepts in the field of statistics, particularly focusing on different sampling methods used in conducting surveys or experiments.
The question describes a sampling technique where the original population is divided into mutually exclusive subsets, such as males and females, and simple random samples are taken from these subsets independently. This type of sampling is known as Stratified Sampling . Therefore, the correct answer for the first question is option (A) Stratified.
Stratified sampling is useful when researchers believe that the population consists of different subgroups that might influence the outcome of a study. By ensuring representation from each subgroup or stratum, this method can provide more accurate and reliable results compared to simple random sampling of the entire population.
In the context of stratified sampling, after the population is divided into subpopulations, these subpopulations are known as Strata . Thus, the correct answer for the second part of the question is option (C) Strata.
In summary, stratified sampling involves a two-step approach where the population is divided into relevant strata, and then random samples are drawn from each stratum. This ensures that each subgroup is proportionally represented in the sample, which can be crucial for understanding diversity within the population.
The chosen option for the first question is (A) Stratified, as it describes a sampling technique where the population is divided into mutually exclusive subsets. For the second question, the correct choice is (C) Strata since it refers to the subpopulations in stratified sampling.
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