What are the benefits of stratified sampling?
Stratified sampling helps ensure that different subgroups are adequately represented in a sample, improving accuracy.
Can you explain how it differs from simple random sampling?
Sure! In simple random sampling, every individual has an equal chance of being selected, while stratified sampling divides the population into subgroups before sampling.
What are some real-world applications of stratified sampling?
It's commonly used in market research, health studies, and opinion polls to ensure diverse representation.
Are there any drawbacks to using stratified sampling?
Yes, it can be more complex and time-consuming to implement compared to simple random sampling.
How do you determine the strata for stratified sampling?
Strata can be determined based on characteristics relevant to the study, such as age, income, or education level.
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