Weighted averages can generate more accurate results than simple averages produce. Weight can account for factors such as frequency, quantity, intensity, and more. Unlike simple averages that weigh all input values equally, a weighted average gives greater importance to some values than others, basing the calculated weight on other real-world factors.

When predetermined weights don’t add up to 1, multiply all values by their weights and add these together. Then, divide this number by the sum of all of the weights to obtain the weighted average.