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Learn how to calculate and interpret the mean, median, and mode as measures of central tendency for different types of data and distributions. See examples, graphs, and comparisons of these statistics and their advantages and disadvantages. Measures of central tendency and dispersion are statistical measures used to describe the characteristics of a dataset. Central tendency helps us identify a single representative value around which data tends to cluster, whereas measures of dispersion tell us how deviated data is from the central value. Measures of central tendency include mean, median, and mode, while measures of dispersion include range, variance, standard deviation, and interquartile range. In this article, we will be ... Measures of Central Tendency : Formulas Table The formulas for calculating mean, median, and mode vary slightly depending on whether the data is ungrouped or grouped.
