Weighted Average Calculator

Calculate weighted means

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About Weighted Average Calculator

A weighted average calculator that computes the mean where each value has a different importance (weight). Add values with weights, see contribution percentages, auto-normalizes weights, and compares to simple average. All calculations are client-side. Essential for grade calculations, portfolio returns, survey analysis, and any scenario where not all data points are equally important.

Weighted Average Calculator Features

  • Dynamic entries
  • Auto-normalize
  • Contribution %
  • Simple vs weighted
  • Visual bars
A weighted average assigns different importance to values. Formula: Σ(value × weight) / Σ(weights). Example: if Test 1 (weight 30%) = 80 and Test 2 (weight 70%) = 90, weighted average = (80×0.3 + 90×0.7) / 1.0 = 87, not the simple average of 85.

How to Use

Add values and their weights:

  • Value: The score or amount
  • Weight: Importance factor
  • Result: Weighted mean computed

Formula

Weighted Average = Σ(xᵢ × wᵢ) / Σ(wᵢ). Weights can be any positive numbers — they'll be normalized to proportions automatically.

Real-World Examples

  • Course grades: midterm 30%, final 50%, homework 20%
  • Stock portfolio: returns weighted by investment amount
  • Customer satisfaction: weighted by response count

Step-by-Step Instructions

  1. 1Add a value and its weight.
  2. 2Add more value-weight pairs.
  3. 3View the weighted average.
  4. 4Compare with the simple average.
  5. 5Check contribution percentages.

Weighted Average Calculator — Frequently Asked Questions

What's the difference between weighted and simple average?+

Simple average treats all values equally. Weighted average gives more importance to values with higher weights. If all weights are equal, they produce the same result.

Do weights need to add to 100?+

No! Weights can be any positive numbers. The calculator normalizes them. Weights of 1,2,3 are the same as 16.7%, 33.3%, 50%.

When should I use a weighted average?+

When values have different importance: grades with different credit hours, investment returns with different amounts, survey responses with different sample sizes.

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