What are random sampling techniques?
Random sampling techniques are methods used to select a subset of individuals from a larger population, ensuring that every individual has an equal chance of being chosen.
Can you explain the different types of random sampling?
Sure! The main types include simple random sampling, stratified sampling, systematic sampling, and cluster sampling.
What is the difference between stratified and cluster sampling?
Stratified sampling divides the population into subgroups and samples from each, while cluster sampling divides the population into clusters and samples entire clusters.
When should I use each type of sampling?
Use stratified sampling when you want to ensure representation from specific subgroups, and cluster sampling when it's more practical to sample whole groups.
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