Last updated on June 12th, 2025
Average is the ratio of the sum of the value to the total number of values. Weighted average is a type of average where a particular weight is multiplied by each value in the data set. We shall learn more about weighted average in this article.
Weighted average is a statistical measure where the significance is given to one or more numbers. It is used when the values in a data set have differences in the degree of importance or frequency, as it is more accurate than average. A weighted average is calculated by multiplying each number in the dataset with its assigned weight, summing the results, and then dividing by the total weight.
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Now, let’s see how to calculate the weighted average. It is found by dividing the sum of the weighted values by the total weight. The weighted terms are the product of the value with the assigned weight. So, weighted average = sum of the weighted terms/numbers of terms.
In other words, if we consider the terms as x1, x2, x3, x4, ….., xn and the assigned weight as w1, w2, w3, w4, …., wn. Then the weighted average = x1w1 + x2w2 + x3w3 + x4w4 + …. + xnwn / w1 + w2 + w3 +w4 + … + wn. It can be simplified into,
Weighted average = Σ(wi . xi) / Σwi
Now, let's see the step-by-step process of finding the weighted average.
Step 1: Arrange the data
Step 2: Finding the weighted term, that is, the product of the value with the weight. Then, sum up the weighted values
Step 3: Find the total number of terms
Step 4: Divide the sum of weighted values by the total weight
For example, the grades of the students in the assessments and the weightage are given below, find the weighted average.
Assessment |
Grade |
Weight |
Homework |
85 |
20% (0.2) |
Midterm |
78 |
30% (0.3) |
Final exam |
92 |
50% (0.5) |
Step 1: Arrange the data for easier calculation
Assessment |
Grade |
Weight |
Homework |
85 |
20% (0.2) |
Midterm |
78 |
30% (0.3) |
Final exam |
92 |
50% (0.5) |
Step 2: Finding the weighted term, that is, the product of the value with the weight. Then, sum up the weighted values.
The weighted term of homework = 85 × 0.2 = 17
The weighted term of midterm = 78 × 0.3 = 23.4
The weighted term of final exam = 92 × 0.5 = 46
The sum of the weights values = 17 + 23.4 + 46 = 86.4
Step 3: Identify the overall weight
Here, the total weight = 0.2 + 0.3 + 0.5 = 1
Step 4: Divide the sum of the weighted values with the total number of values.
Weighted average = the sum of the weighted values / total number of values
= 86.4 / 1 = 86.4.
There are different methods to find the average based on the purpose. For instance, we can calculate the weighted average, arithmetic mean, and geometric mean based on the objective. Now let’s discuss the difference between them:
Weighted Average |
Arithmetic Mean |
Geometric Mean |
Is the average we use to find when a value has more significance as compared to other |
The arithmetic mean is the simple average here; all the values have equal significance |
The geometric mean is used to find the average of values that represent growth rates, ratios, or percentage changes |
Weighted average = sum of the weighted terms/number of terms So, weighted average = Σ(wi . xi) / Σwi |
Arithmetic mean = sum of values/number of values. So, AM = x1 + x2 + …+ xn / n |
Geometric mean = nth root of the product of the values. So, geometric mean = nx1 × x2 × x3 × ....... × xn , where n is the number of terms |
For instance, the weighted average is used to find the grade of a student when the exam, assignments, and attendance have different weights. |
For instance, the average is used to find the overall performance of the class. |
It is used to find the compound interest, investment returns, growth rate, and so on. |
Now, let’s explore what are the applications of weighted averages.
Students frequently make errors when working on a weighted average. To master weighted average, let's learn a few common mistakes and ways to avoid them.
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A student scored 80 in Math (weight: 50%), 70 in Science (weight: 30%), and 90 in English (weight: 20%). What is the weighted average?
The weighted average score is 79
Weighted average = sum of the weighted terms/number of terms
Total weight in math = 80 × 0.50 = 40
Total weight in science = 70 × 0.30 = 21
Total weight in English = 90 × 0.20 = 18
Sum of the weighted values = 40 + 21 + 18 = 79
Summing the weights, we get: 0.50 + 0.30 + 0.20 = 1
Since the total weight is 1, the final weighted average is 79.
An investor holds three stocks: Stock A: $10,000 (Return: 5%) Stock B: $15,000 (Return: 8%) Stock C: $25,000 (Return: 10%) Find the weighted average return.
The average return is 8.4%
Weighted average = sum of the weighted terms/number of terms
Weightage of stock A return = 0.05 × 10000 = 500
Weightage of stock B return = 0.08 × 15000 = 1200
Weightage of stock C return = 0.10 × 25000 = 2500
Total weight = 10000 + 15000 + 25000 = 50000
So, weighted average return = 500 + 1200 + 2500 / 50000 = 4200 / 50000 = 0.084
0.084 in percentage is 8.4%
A product has the following customer ratings: 5-star: 40 customers 4-star: 30 customers 3-star: 20 customers 2-star: 10 customers Find the weighted average rating.
The weighted average rating is 4 star
Weighted average = sum of the weighted terms/number of terms
Weightage of 5-star rating = 5 × 40 = 200
Weightage of 4-star rating = 4 × 30 = 120
Weightage of 3-star rating = 3 × 20 = 60
Weightage of 2-star rating = 2 × 10 = 20
Total weight = 40 + 30 + 20 +10 = 100
So, weighted average rating = 200 + 120 + 60 + 20 / 100 = 400/100 = 4
A car travels 100 km at 60 km/h and another 200 km at 80 km/h. What is the weighted average speed?
The average speed is 72 km/h
Time taken to complete each segment
Time to complete 100 km = Distance / speed = 100 / 60 = 1.667 hours
Time to complete 200 km = Distance / speed = 200 / 80 = 2.5 hours
So, total time = 1.67 + 2.5 = 4.17 hours
Total distance travelled = 100 + 200 = 300 km
So, average speed = total distance / total time = 300/4.17 = 71.942 km/h
It can be rounded to 72 km/h
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Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!