In (Simple) random sampling, all of the units in the sample have the same chance of being included in the sample. Units are selected randomly from a population by some random method that gives equal probability to each element.
In stratified random sampling, the entire population is divided into heterogeneous sub-popuation known as strata (sub-population with unequal variances) and a random sample is chosen from each of these stratum.
The reason when to use which depends on the situation and need of the experimenter.
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They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
simple random, stratified sampling, cluster sampling
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