You could create a stratified random sample by
a. randomly selecting participants from the names of everybody in your population.
b. breaking the population into subgroups and randomly selecting from each subgroup.
c. creating clusters of people in the population and selecting everybody from randomly chosen clusters.
d. using chain-referral sampling.
Question 2
If you wanted to make sure that your research sample consisted of equal numbers of females and males, you could get a list of the people in your population, separate them by sex, then randomly select an equal number of participants from each group.
This technique is called
a. stratified random sampling.
b. quota sampling.
c. purposive sampling.
d. Nonprobability sampling.
Random, regular, and clumped distributions.
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