A weighted average is a calculation that takes into account the varying degrees of importance or frequency of different values in a dataset. Instead of treating each value equally, it assigns weights to each value based on its significance, allowing for a more accurate representation of the overall average when values differ in importance. This method is particularly useful in numerical methods where different estimates or approximations may have differing levels of reliability.
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