When each person has an equal chance of being selected?

When each person has an equal chance of being selected?

• A. Survey population
• B. Bias
• C. Objectivity
• D. Random sampling

Answer: (D)

Random sampling is the idea that each person in the population has the same probability of being chosen. This equal chance helps make the selected group representative of the whole population and reduces the influence of chance on who gets included. It’s the method that ensures fairness in selection, so the results are more generalizable to the larger group. A survey population is the group you intend to study, but simply naming that group doesn’t guarantee equal chances of selection without a random process. Objectivity refers to neutrality in how the research is conducted and interpreted, but it doesn’t by itself ensure that everyone had an equal shot at being included. Bias is the opposite of random sampling: it happens when some individuals are more likely to be chosen than others, which distorts the sample.

Random sampling is the idea that each person in the population has the same probability of being chosen. This equal chance helps make the selected group representative of the whole population and reduces the influence of chance on who gets included. It’s the method that ensures fairness in selection, so the results are more generalizable to the larger group.

A survey population is the group you intend to study, but simply naming that group doesn’t guarantee equal chances of selection without a random process. Objectivity refers to neutrality in how the research is conducted and interpreted, but it doesn’t by itself ensure that everyone had an equal shot at being included. Bias is the opposite of random sampling: it happens when some individuals are more likely to be chosen than others, which distorts the sample.