Measures of Central Tendency and Dispersion
Measures of Central Tendency and Dispersion This topic focuses on understanding how data is distributed and summarized. While measures of central tendency (like the mean) show the average value, dispersion or variability explains how spread out the data values are. Range (r) is the simplest measure of dispersion. It is calculated by subtracting the smallest value (minimum) from the largest value (maximum). It gives a quick idea of how wide the data set is. Standard Deviation (s) is a more advanced measure of variability. It tells us how far the data values are from the mean on average. A small standard deviation means the data points are close to the mean, while a large standard deviation means the data is more spread out.
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