Which term refers to the central tendency of data across many points?

Which term refers to the central tendency of data across many points?

• A. Trend
• B. Variability
• C. Mean
• D. Level

Answer: (C)

Central tendency is about describing a typical value around which data cluster. The mean is the arithmetic average, found by adding all the data points and dividing by how many points there are. This single number represents the dataset’s center across many observations and is especially informative when the data are reasonably symmetric and not skewed by extreme outliers. For example, if you record five scores like 70, 75, 80, 85, and 90, the mean is 80, giving a sense of the typical score. In contrast, a trend describes how values move up or down over time, not the center of the data; variability describes how spread out the data are around that center; and level refers to a baseline or current value, not the average across many points.

Central tendency is about describing a typical value around which data cluster. The mean is the arithmetic average, found by adding all the data points and dividing by how many points there are. This single number represents the dataset’s center across many observations and is especially informative when the data are reasonably symmetric and not skewed by extreme outliers. For example, if you record five scores like 70, 75, 80, 85, and 90, the mean is 80, giving a sense of the typical score. In contrast, a trend describes how values move up or down over time, not the center of the data; variability describes how spread out the data are around that center; and level refers to a baseline or current value, not the average across many points.