What are some examples of stratified sampling?
An example of an AI chatbot conversation about stratified sampling techniques and their applications.
What are some examples of stratified sampling?
Stratified sampling involves dividing a population into subgroups and sampling from each. For example, in a study on student performance, you might stratify by grade level and then randomly sample students from each grade.
Can you give me another example?
Sure! In market research, a company might stratify its customer base by age groups (e.g., 18-24, 25-34) and then sample customers from each group to ensure diverse representation.
What are the benefits of using stratified sampling?
The benefits include increased precision in estimates, reduced sampling error, and ensuring that all subgroups are represented in the sample.
Are there any drawbacks to stratified sampling?
Yes, it can be more complex and time-consuming to implement compared to simple random sampling, and it requires detailed knowledge of the population.
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