Final answer:
Random selection, also known as probability sampling, is an effective way to choose a person in certain situations. It ensures that everyone in the population has an equal chance of being selected, which results in a representative sample.
Step-by-step explanation:
Random selection, also known as probability sampling, is an effective way to choose a person in certain situations. It ensures that everyone in the population has an equal chance of being selected, which results in a representative sample. This is important when conducting research or surveys because it helps reduce bias and increase the validity of the findings.
For example, if a market researcher wants to understand the preferences of customers in a store, they can use random selection by polling every tenth person who walks in. This method ensures that each person has an equal chance of being chosen, providing a fair representation of the entire population.
However, random selection may not always be the best way to choose a person. In some situations, researchers may need to use other sampling methods, such as stratified sampling or cluster sampling, to achieve specific goals or target specific subgroups within the population.