In the context of sampling distributions, what is the term for the portion of the population of interest that is selected for a study?

• A. $\mathrm{Population}$
• B. $\mathrm{Sample}$
• C. $\mathrm{Parameter}$
• D. $\mathrm{Statistic}$

Answer: (B)

Verified step by step guidance

1. Understand the key terms involved in sampling distributions: 'Population' refers to the entire group of individuals or items that you want to study.
2. 'Sample' is a subset of the population that is actually selected and observed or measured in the study.
3. 'Parameter' is a numerical characteristic or measure that describes a feature of the population (e.g., population mean or population proportion).
4. 'Statistic' is a numerical characteristic or measure calculated from the sample data, used to estimate the population parameter.
5. Therefore, the term for the portion of the population selected for the study is called the 'Sample'.