Consider the deviation each score is away from the mean of the distribution.

Mean deviation is a measure of dispersion that considers the deviation of each score from the mean of the distribution. It calculates the average absolute difference between each score and the mean. By taking into account the deviations of all scores, mean deviation provides a comprehensive understanding of the spread of data around the mean. This measure is useful in analyzing the variability of a dataset and comparing the dispersion between different distributions.