Answer: This is most likely an example of stratified sampling (Option c)
Stratified sampling is a technique where the population is classified into various groups or strata.
Then a certain number of people are chosen randomly from each strata in order to ensure that the sample is a true representation of the population.
The number of people chosen from each group may be in proportion of the group to the total population, or the there may be an equal number of people chosen from each group.
In this case, justin's group divided the population by age and race and gender. The number of people they chose from each group was in proportion of the group to the total population. So this is an example of stratified sampling.