Weighted averages are calculations that take into account the varying degrees of importance of the numbers in a data set, rather than treating all numbers equally. This concept is crucial in various mathematical contexts, particularly when applying Jensen's inequality, as it helps to analyze how different weights influence the overall outcome of a function when it is convex or concave. Understanding weighted averages enables a deeper comprehension of distributions and their properties in both theoretical and applied scenarios.
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