What are some common data sampling methods?
Common data sampling methods include random sampling, stratified sampling, cluster sampling, and systematic sampling.
Can you explain random sampling in more detail?
Sure! Random sampling involves selecting a subset of individuals from a larger population, where each individual has an equal chance of being chosen.
What is stratified sampling and when should I use it?
Stratified sampling divides the population into distinct subgroups, or strata, and samples from each stratum. It's useful when you want to ensure representation from all subgroups.
How does cluster sampling differ from stratified sampling?
Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters to sample, while stratified sampling samples individuals from each stratum.
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