What is meant by sample mean?

• A. The median of a dataset.
• B. The average value of a subset drawn from a larger population.
• C. The total of all values in a dataset.
• D. The most frequently occurring value in a dataset.

Answer: (B)

The sample mean refers to the average value obtained by summing the values within a specific subset, known as the sample, and dividing that total by the number of values in the sample. This process allows researchers to estimate the overall average of a larger population from which the sample is drawn.

In contrast, the median is the middle value of a dataset, while the total of all values simply adds them together without considering the number of data points. The most frequently occurring value, or mode, identifies the value that appears the most often in a set. Each of these other definitions serves a different purpose in statistics, but the sample mean specifically focuses on average value derived from a representative subset, making it crucial for inferential statistics and insights about the larger population.