Given the situation described, identify the type of sampling involved. A parish in Louisiana is divided geographically into school districts. A random sample from each of the school districts is selected
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stratified sampling
The type of sampling involved in this situation is stratified random sampling.
To identify the type of sampling, we can break down the process:
1. The population: The population in this case is the parish in Louisiana.
2. Dividing the population: The population is divided geographically into school districts.
3. Sampling: From each of the school districts, a random sample is selected.
Based on these steps, we can conclude that stratified random sampling is being used. In stratified random sampling, the population is divided into distinct subgroups or strata (in this case, the school districts), and then a random sample is selected from each subgroup. This ensures that each subgroup is represented in the sample, making the sample more representative of the overall population.