In statistical sampling, what best defines a sample?

In statistical sampling, what best defines a sample?

• A. A smaller (but representative) collection of units from a population used to determine truths about that population.
• B. The entire population.
• C. A hypothetical distribution.
• D. The average of a population.

Answer: (B)

A sample is a smaller, representative subset of units drawn from a population to learn about that population. This setup lets researchers study a manageable number of cases while aiming for the subset to reflect the population’s characteristics, so conclusions about the sample can generalize to the whole group. The entire population isn’t a sample; it’s the group being studied. A hypothetical distribution is a theoretical model, not actual observed units. The average is a statistic computed from data, not the subset itself.

A sample is a smaller, representative subset of units drawn from a population to learn about that population. This setup lets researchers study a manageable number of cases while aiming for the subset to reflect the population’s characteristics, so conclusions about the sample can generalize to the whole group. The entire population isn’t a sample; it’s the group being studied. A hypothetical distribution is a theoretical model, not actual observed units. The average is a statistic computed from data, not the subset itself.