Weighted Average Calculator

Calculate a weighted average from paired values and weights, with contribution and normalized weight details

Related Tags

Calculate a weighted average from values and matching weights.

weighted average = sum(value x weight) / sum(weight)

Use it for grades, portfolio returns, survey scores, priority scoring, and any dataset where each value has a different importance.

Example Results

1 examples

Calculate a weighted grade

Combine exam scores with their course weights.

{
  "result": {
    "weightedAverage": 91.5
  }
}
View input parameters
{ "values": "90, 85, 95", "weights": "0.3, 0.2, 0.5", "decimalPlaces": 2, "normalizeWeightsInOutput": true }

Key Facts

Category
Math, Date & Finance
Input Types
textarea, number, checkbox
Output Type
json
Sample Coverage
0
API Ready
Yes

Overview

The Weighted Average Calculator instantly computes the weighted mean of a dataset by combining your values with their corresponding weights. Whether you are calculating final grades, evaluating portfolio returns, or scoring survey results, this tool provides accurate results alongside detailed weight contributions and normalized percentages.

When to Use

  • Calculating final grades where assignments, midterms, and final exams have different percentage weightings.
  • Determining the overall return of an investment portfolio with varying asset allocations and position sizes.
  • Evaluating survey responses or priority scoring models where certain criteria carry more importance than others.

How It Works

  • Enter your dataset into the Values field, separating each number with a comma.
  • Input the corresponding importance of each value in the Weights field in the exact same order.
  • Adjust the decimal places and choose whether to normalize the weights in the output.
  • The tool multiplies each value by its weight, sums the results, and divides by the total weight to generate the final average.

Use Cases

Students and teachers calculating final course grades based on syllabus weightings (e.g., 20% homework, 30% midterm, 50% final).
Financial analysts computing the weighted average cost of capital (WACC) or overall portfolio returns based on capital allocation.
Product managers using weighted scoring models to prioritize feature development based on impact, effort, and strategic alignment.

Examples

1. Calculating a Final Course Grade

College Student
Background
A student wants to know their final grade. Homework is worth 20%, the midterm is 30%, and the final exam is 50%.
Problem
Need to combine different assignment scores with their respective syllabus weights to find the final percentage.
How to Use
Enter the scores in the Values field and the percentages (as decimals or whole numbers) in the Weights field.
Example Config
Values: 95, 82, 89
Weights: 0.2, 0.3, 0.5
Outcome
The tool calculates a final weighted average of 88.1, showing exactly how much the final exam contributed to the overall grade.

2. Evaluating Investment Portfolio Returns

Retail Investor
Background
An investor holds three different stocks with varying amounts of capital invested in each. They want to calculate the overall portfolio return.
Problem
A simple average of the return percentages is inaccurate because the position sizes are different.
How to Use
Input the return percentages as Values and the dollar amounts invested as Weights.
Example Config
Values: 12.5, -4.2, 8.0
Weights: 10000, 5000, 25000
Outcome
The calculator normalizes the dollar amounts into portfolio percentages and outputs the true weighted return of the entire portfolio.

Related Hubs

FAQ

What is the difference between a simple average and a weighted average?

A simple average treats all values equally, while a weighted average assigns a specific importance (weight) to each value, giving more significant items a greater impact on the final result.

Do my weights need to add up to 1 or 100?

No. The calculator automatically normalizes the weights by dividing the sum of the weighted values by the total sum of the weights you provide.

How should I format the values and weights?

Enter them as comma-separated numbers. Ensure that the number of items in the Values field exactly matches the number of items in the Weights field.

What does 'Normalize Weights In Output' mean?

This option converts your raw weights into proportional fractions or percentages in the detailed output, making it easier to see the relative contribution of each value to the whole.

Can I use decimals or negative numbers?

Yes, both the values and weights fields accept decimal numbers. Values can be negative (like investment losses), but weights should typically be positive numbers.

API Documentation

Request Endpoint

POST /en/api/tools/weighted-average-calculator

Request Parameters

Parameter Name Type Required Description
values textarea Yes -
weights textarea Yes -
decimalPlaces number No -
normalizeWeightsInOutput checkbox No -

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-weighted-average-calculator": {
      "name": "weighted-average-calculator",
      "description": "Calculate a weighted average from paired values and weights, with contribution and normalized weight details",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=weighted-average-calculator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]