Enter your numbers
Tip: You can paste from Excel/Sheets. Any mix of commas, spaces, or new lines works. Example: 10, 12, 15 18 or a column of numbers.
Paste a list of numbers to instantly calculate the average (mean). Use commas, spaces, or line breaks. Need grades or portfolios? Toggle weighted average and add weights (like credit hours or assignment points). Fast, free, and built for screenshots + sharing.
Tip: You can paste from Excel/Sheets. Any mix of commas, spaces, or new lines works. Example: 10, 12, 15 18 or a column of numbers.
In everyday language, “average” usually means the arithmetic mean. It answers a simple question: if you evenly shared the total across all items, what would each item be?
If you have numbers x₁, x₂, …, xₙ, the mean is:
Mean = (x₁ + x₂ + … + xₙ) / n
Sometimes items have different importance (weights). If each value xᵢ has a weight wᵢ,
the weighted mean is:
Weighted Mean = (Σ(xᵢ·wᵢ)) / (Σ wᵢ)
Group A has 2 people with an average of 90. Group B has 8 people with an average of 70. The overall average is not (90 + 70) / 2 = 80 unless both groups are the same size. The correct overall mean is weighted by group size: (90·2 + 70·8) / (2 + 8) = (180 + 560) / 10 = 74. This is why weighted averages matter for class grades, team metrics, and business dashboards.
If you copy a column from Excel or Google Sheets and paste it into the numbers box, each row becomes a new line. This calculator treats line breaks as separators, so it works instantly. If you copy a row, values may be separated by tabs/spaces — also supported.
Numbers: 10, 12, 15, 18
Sum = 10 + 12 + 15 + 18 = 55
Count n = 4
Mean = 55 / 4 = 13.75
Numbers: -2, 4, 6
Sum = -2 + 4 + 6 = 8
Mean = 8 / 3 ≈ 2.6667
Suppose you have two items: Quiz = 80 (weight 1), Final = 90 (weight 3).
Weighted sum = 80·1 + 90·3 = 80 + 270 = 350
Sum of weights = 1 + 3 = 4
Weighted mean = 350 / 4 = 87.5
You buy 2 items at $5 and 6 items at $2. Your average price per item is weighted by quantity.
Values: 5, 2
Weights: 2, 6
Weighted mean = (5·2 + 2·6) / (2+6) = (10 + 12) / 8 = 2.75
Shortcut: for purchases, weights are often “how many”. For grades, weights are often “percent” or “points”.
This tool is designed to be both accurate and forgiving. It accepts messy paste formats (like a spreadsheet column) and turns them into clean numbers before doing the math.
The meter is a quick visual: it places your average between your minimum and maximum values. If min = max (all numbers equal), the meter locks at 100% because everything is the same.
Privacy note: calculations happen on your device. We don’t send your numbers anywhere.
In most contexts, yes. But people sometimes mean median (middle value) or “typical” as in mode (most common). If your data has outliers, median can be more representative.
Commas, spaces, tabs, and line breaks. You can paste a column from a spreadsheet and it will work.
Practically thousands. For extremely huge lists, your browser may slow down, but typical real-world lists (grades, prices, workouts, small datasets) are instant.
A weighted average gives some values more influence than others. It’s used when items have different importance, like course grades by credit hours, or portfolio returns by allocation percentage.
No. Any positive weights work. If your weights are percentages, they can sum to 100. If they’re “importance points”, they can sum to anything. The formula normalizes them automatically.
This calculator blocks negative weights because they’re uncommon and can produce confusing results. If you truly need signed weights for a special math use-case, treat it as a custom formula problem.
Usually it’s because (1) a unit got mixed in (like “10%”), (2) a comma was used as a decimal separator, or (3) an outlier is pulling the mean. Try also computing the median to compare.
No. Saved results stay on your device in the browser’s localStorage. Clear your browser storage to remove them.
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Want an easy viral post? Calculate the mean and median of the same list and screenshot both. Then post: “Which one feels more fair?” People love debating “average” when outliers exist.