Which of the following is used to analyze dispersion?

Dispersion refers to the extent to which data points in a dataset are spread out or clustered together. The range specifically quantifies this spread by calculating the difference between the maximum and minimum values in the dataset. This simple measure provides a clear indicator of how far apart the values lie.

While the mean, median, and mode are measures of central tendency—which summarize a dataset by identifying a central point—they do not convey information about the variability or spread of the data. The mean provides an average, the median identifies the middle value when the data is sorted, and the mode represents the most frequently occurring value in the dataset. However, none of these measures gives insights into the degree of dispersion.

Thus, the range is the appropriate measure to analyze dispersion as it directly captures the spread of the data points, making it essential for understanding the variability within a dataset.