Five different sampling methods are described below. Choose the one that defines stratified sampling. Divide a population into groups based on similar characteristics, then take a random sample from each group.
Take a sample of size n from a population in such a way that every possible sample of size n has an equal probability
of being chosen
O Order the population, select a random starting point and interval, then select individuals every interval from the
starting point until the desired sample size is achieved.
Select members of a population by asking for volunteers, or otherwise find a sample that is easy to obtain and is not
based on randomness or chance.
Divide a population into comparable groups, select a simple random sample of the groups, and then sample all of
the individuals within each of the chosen groups.