Answer:
Simple random (sampling).
Step-by-step explanation:
As the exercise briefly explains, when each individual in the population has an equal opportunity of being in the sample, simple random sampling is being used. In this type of sampling, each member of the subset has the same equal chances of being chosen. It's meant to be an unbiased characterization of the population or group chosen. An example of simple random sampling would be taking out the shortest straw at a game or, another example, taking out your name in a piece of paper out of a hat alongside another 30 names.