Get Weighted Average

We'll use the SUMPRODUCT and SUM functions to determine the Weighted Average. The SUMPRODUCT function multiplies each Test's score by its weight, and then, adds these resulting numbers. We then divide the outcome of SUMPRODUCT by the SUM of the weights. And this returns the Weighted Average of 80.

The formula for finding the weighted average is the sum of all the variables multiplied by its weight, then divided by the sum of the weights. Example: Sum of variables(weight)/sum of all weights = weighted average.

In mathematics and statistics, you calculate weighted average by multiplying each value in the set by its weight, then you add up the products and divide the products' sum by the sum of all weights. As you see, a normal average grade (75.4) and weighted average (73.5) are different values.

To calculate a weighted average with percentages, each category value must first be multiplied by its percentage. Then all of these new values must be added together. In this example, we must multiply the student's average on all tests (83) by the percentage that the tests are worth towards the final grade (40%).

7.5 + 15.2 + 16 + 44.1 = 82.8. The weighted average is 82.8%. Using the normal average where we calculate the sum and divide it by the number of variables, the average score would be 76%. The weighted average method stresses the importance of the final exam over the others.

The main difference between the two is that weighted GPAs take into account the difficulty of your coursework and unweighted GPAs don't. Most unweighted GPAs are recorded on a scale of 0 to 4.0, and most weighted GPAs are recorded on a scale of 0 to 5.0.

We'll use the SUMPRODUCT and SUM functions to determine the Weighted Average. The SUMPRODUCT function multiplies each Test's score by its weight, and then, adds these resulting numbers. We then divide the outcome of SUMPRODUCT by the SUM of the weights. And this returns the Weighted Average of 80.

In a weighted average, the final average number reflects the relative importance of each observation and is thus more descriptive than a simple average. It also has the effect of smoothing out the data and enhancing its accuracy.

The key difference between average vs weighted average is that simple average is nothing but simply adding up all the observation values and dividing the same by the total number of observations to calculate the average whereas the weighted average is an average where each observation value will have a frequency ...

To calculate the weighted average cost, divide the total cost of goods purchased by the number of units available for sale. To find the cost of goods available for sale, you'll need the total amount of beginning inventory and recent purchases.