Answer:
C. stratified random sample
Explanation:
This is an example of a stratified random sample because the researcher is dividing the population by ethnicity and selecting 10 members from each group. By doing so, the researcher is ensuring that each ethnic group is represented proportionally in the sample, which can help reduce bias and provide more accurate results. This is different from a convenience sample, where participants are chosen based on their availability and accessibility, or a self-selecting sample, where participants choose to participate in the study on their own.