What is the difference between random sampling and stratified sampling?

Question

Quizplus · Accepted Answer

The difference between random sampling and stratified sampling is that stratified sampling involves dividing the population into subgroups or strata based on certain characteristics, such as age or income, and then selecting a random sample from each stratum. This allows for the sample to be representative of the entire population, as each subgroup is proportionally represented based on their demographic characteristics. Random sampling, on the other hand, involves selecting a completely random sample from the entire population without any consideration for demographic characteristics. Stratified sampling therefore combines random selection with predetermined weighting of a population's demographic characteristics, making it the best choice for ensuring representative sampling.

What Is the Difference Between Random Sampling and Stratified Sampling