The weighted mean is a measure of central tendency that takes into account the relative importance or frequency of each value in a dataset. Unlike the simple arithmetic mean, which treats all values equally, the weighted mean assigns different weights to different values based on their significance, allowing for a more accurate representation of the dataset as a whole. This concept is especially useful in situations where certain data points are more influential than others, providing insights that reflect these differences.
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