wi = The weight assigned to each value, representing its relative importance
n = The number of data values
xˉw = The weighted average (result)
Worked Example
Problem: A student's final grade is based on three categories: Homework (weight 10%), Quizzes (weight 20%), and Tests (weight 70%). The student scored 92 in Homework, 68 in Quizzes, and 81 in Tests. Find the final grade.
Step 1: Identify each value and its corresponding weight. The weights are 0.10, 0.20, and 0.70.
x1=92,w1=0.10x2=68,w2=0.20x3=81,w3=0.70
Step 2: Multiply each value by its weight.
0.10×92=9.20.20×68=13.60.70×81=56.7
Step 3: Add the weighted products together.
9.2+13.6+56.7=79.5
Step 4: Since the weights are percentages that already sum to 1.00, the denominator is 1. The weighted average is simply the sum from Step 3.
xˉw=1.0079.5=79.5
Answer: The student's final grade is 79.5.
Another Example
Problem:Three boxes of apples weigh 10 kg, 20 kg, and 30 kg. The apples in each box cost 2,3, and $5 per kilogram, respectively. What is the weighted average price per kilogram across all the apples?
Step 1: Identify the values (prices) and their weights (kilograms). Here the weights do not sum to 1, so you must divide by their total.
x1=2,w1=10x2=3,w2=20x3=5,w3=30
Step 2: Compute each weighted product.
10×2=2020×3=6030×5=150
Step 3: Sum the weighted products and sum the weights.
Numerator=20+60+150=230Denominator=10+20+30=60
Step 4: Divide to get the weighted average.
xˉw=60230≈3.83
Answer:The weighted average price is approximately 3.83perkilogram.Noticethisishigherthanthesimpleaverageofthethreeprices(3.33) because the most expensive apples make up the largest portion of the total weight.
Frequently Asked Questions
What is the difference between a weighted average and a regular average?
A regular (arithmetic) average adds all values and divides by the count, treating every value equally. A weighted average multiplies each value by a weight before summing, then divides by the total weight. Use a weighted average whenever some values matter more than others—like when a final exam counts more than homework.
How do I find the weights for a weighted average?
The weights are given by the context of the problem. In a course syllabus, the weights are the percentage each category counts toward your grade. In finance, the weights might be the amount of money invested in each asset. If all weights are equal, the weighted average simplifies to the ordinary arithmetic mean.
Weighted Average vs. Arithmetic Mean
The arithmetic mean assigns equal importance to every value: you add them up and divide by the count. The weighted average assigns different importance to each value through weights. If every weight is the same, the weighted average equals the arithmetic mean. The distinction matters whenever data points represent different quantities, frequencies, or levels of significance.
Why It Matters
Weighted averages appear constantly in real life. Course grades almost always use weighted averages to reflect how much exams, homework, and quizzes count. In finance, a stock portfolio's return is the weighted average of each stock's return, weighted by the amount invested. Understanding weighted averages helps you accurately combine information where not all pieces carry the same significance.
Common Mistakes
Mistake: Forgetting to divide by the sum of the weights when the weights do not add up to 1.
Correction: Always check whether your weights sum to 1 (as percentages often do). If they do not, you must divide the sum of the weighted products by the total of the weights. Skipping this step gives an answer that is too large.
Mistake: Using the simple arithmetic mean when the problem requires a weighted average.
Correction: If different data points represent different quantities or importance levels, a simple mean will give the wrong result. Look for clues like percentages, frequencies, or amounts—these signal that you need a weighted average.
Related Terms
Average — General term; weighted average is a specific type
Arithmetic Mean — Equal-weight special case of weighted average
Mean — Broader concept encompassing several types of averages