Which of the following scenarios exemplifies the concept of random sampling?

Question

BlackTom AI · Accepted Answer

In this question, we are evaluating which scenario illustrates random sampling, a method where every member of the population has an equal chance of being included in the sample.
Option 1: 'Zahra, a researcher, allows participants to share their feelings with her after conducting experiments.' This describes a data collection or interview scenario rather than a sampling method. It does not address how participants were chosen from the population, so it does not exemplify random sampling.
Option 2: 'Ren, a researcher, selects participants for a study in such a way that every person in the population being studied gets an equal chance of inclusion.' This precisely matches the definition of random sampling, where each member of the population has an equal probability of being included, helping to reduce selection bias and increase representativeness.
Option 3: 'Polina, a researcher, prepares questions for a survey in such a way that they prompt the respondents toward beneficial decisions without restricting their freedom.' This describes biasing question design or a form of leading questions, not a sampling method. It concerns instrument design rather than how participants are selected.
Option 4: 'Liam, a researcher, misinforms the population being studied for a study about the purpose of the study.' This scenario illustrates deception or miscommunication, which concerns ethics and consent rather than the sampling technique used to recruit participants.

Which of the following scenarios exemplifies the concept of random sampling?

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