What are the differences between various sampling methods?

What are the differences between various sampling methods?

There are several sampling methods, including random sampling, stratified sampling, and cluster sampling. Would you like a brief overview of each?

Yes, please explain random and stratified sampling.

Random sampling involves selecting individuals from a population entirely by chance, ensuring every member has an equal chance of being chosen. Stratified sampling, on the other hand, divides the population into subgroups and samples from each subgroup to ensure representation.

What are the advantages of using stratified sampling?

Stratified sampling can lead to more accurate and reliable results, as it ensures that all subgroups are represented, reducing sampling bias.

Are there any disadvantages to stratified sampling?

Yes, it can be more complex and time-consuming to implement, as it requires detailed knowledge of the population to create appropriate strata.