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Statistics Calculator

Paste a list of numbers and instantly get mean, median, mode, std dev, and more.

Separate by comma, space, or newline. Paste from a spreadsheet or type manually.

10 numbers detected

Distribution

2
1
2
3
5
4
7
1
9
1
11

6 equal-width bins  ·  tap any stat above to copy it

About this tool

Statistics Calculator takes any list of numbers and instantly computes ten descriptive statistics: count, sum, minimum, maximum, range, mean (average), median, mode, variance, and standard deviation. It also draws a histogram showing how the values are spread across equal-width bins, giving you a quick sense of the distribution shape. Paste data from a spreadsheet, a CSV, or a survey — the tool accepts commas, spaces, semicolons, and newlines as separators. Useful for students, researchers, data analysts, and anyone who needs a quick summary of a dataset. All processing runs in your browser.

How to use

  1. Type or paste your numbers into the input box, separated by commas, spaces, or newlines.
  2. Results and the distribution histogram appear automatically.
  3. Copy any individual stat value you need.

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FAQ

What statistics does it calculate?

Count, sum, minimum, maximum, range, mean (average), median, mode, population variance, and population standard deviation.

How do I enter the numbers?

Type or paste numbers separated by commas, spaces, semicolons, or newlines — any combination works. The tool detects them automatically.

What is the difference between variance and standard deviation?

Variance is the average of squared differences from the mean. Standard deviation is the square root of variance — it is in the same unit as the original data, making it easier to interpret.

What does 'Mode: None' mean?

Mode shows the value that appears most often. If every value appears exactly once, there is no mode and the tool displays None.

Is this population or sample statistics?

The tool uses population formulas (divides by n, not n−1). This is appropriate when your numbers represent the entire group you care about, not a sample drawn from a larger population.