Weighted Average
A weighted average is a statistical measure that calculates an average where some data points contribute more than others, based on assigned weights. It is computed by multiplying each value by its weight, summing these products, and dividing by the sum of the weights. This concept is widely used in fields like finance, education, and data analysis to account for varying importance or frequency of values.
Developers should learn weighted averages when building applications that involve aggregating data with different levels of significance, such as calculating GPA (where courses have credit hours as weights), financial metrics like portfolio returns (with investment amounts as weights), or machine learning algorithms (e.g., weighted voting in ensembles). It provides a more accurate representation than a simple average in scenarios where not all inputs are equally relevant.