Which term describes the center of distribution: mean, median, and mode?

Which term describes the center of distribution: mean, median, and mode?

• A. Central Tendency
• B. Median
• C. Mode
• D. Range

Answer: (B)

The idea being tested is how we describe the center of a data set. Among the options, the term that specifically names the middle value when data are ordered is the median. You find it by lining up all values from smallest to largest and picking the middle one (or averaging the two middle values if there’s an even number of data points). This makes the median a reliable center indicator because it marks the point that splits the data into two equal halves. This is especially helpful when the data are skewed or have outliers. For example, with values 1, 2, 2, 3, 100, the median is 2, which represents the central location without being dragged upward by the extreme value 100. In contrast, the mean would be much larger (influenced by that outlier), and the mode only tells you the most frequent value, which might not reflect the dataset’s central point. The range simply describes how spread out the data are, not where the center lies.

The idea being tested is how we describe the center of a data set. Among the options, the term that specifically names the middle value when data are ordered is the median. You find it by lining up all values from smallest to largest and picking the middle one (or averaging the two middle values if there’s an even number of data points). This makes the median a reliable center indicator because it marks the point that splits the data into two equal halves.

This is especially helpful when the data are skewed or have outliers. For example, with values 1, 2, 2, 3, 100, the median is 2, which represents the central location without being dragged upward by the extreme value 100. In contrast, the mean would be much larger (influenced by that outlier), and the mode only tells you the most frequent value, which might not reflect the dataset’s central point. The range simply describes how spread out the data are, not where the center lies.