What are some examples of random sampling?

What are some examples of random sampling?

Random sampling is a technique where each member of a population has an equal chance of being selected. Examples include simple random sampling, stratified sampling, and cluster sampling.

Can you explain simple random sampling?

Sure! Simple random sampling involves selecting a subset of individuals from a larger population, where each individual has an equal probability of being chosen. This can be done using methods like lottery or random number generators.

What about stratified sampling?

Stratified sampling divides the population into distinct subgroups or strata, and then random samples are taken from each stratum. This ensures representation from all segments of the population.

How is cluster sampling different?

Cluster sampling involves dividing the population into clusters, usually geographically, and then randomly selecting entire clusters to sample. This is often more practical and cost-effective.