Chebyshev’s Theorem Calculator

Work out the smallest share of data within a number of standard deviations of the mean, for any distribution.

Your details

Optional; 70 if left empty

Optional; 10 if left empty

Your data stays in your browser

Result

Enter k, then press “Calculate”.

Analysis and suggestions

Once calculated, this shows what your result means and suggestions based on your numbers.

Behind the result

Work out the smallest share of data within a number of standard deviations of the mean, for any distribution.

Example · نسبة البيانات ضمن k انحرافات معيارية ≥ 1 − 1 ÷ k²

1 − 1 / 2² = 0.75

How it is calculated

Comprehensive Calculator Guide

This calculator gives the minimum share of any data set within k standard deviations of the mean, and the range if you give the mean and SD. Within 2 SDs lies at least 75% of any data. It compares the guarantee with the normal distribution, which packs far more data into the same range.

A floor for any shape

At least 1 − 1/k² lies within k SDs (k > 1). A normal distribution packs far more in: 95.45% within 2 SDs. Use Chebyshev when the shape is unknown or skewed.

How to Use

  1. Enter k (above 1).
  2. Optionally enter the mean and SD.
  3. Press “Calculate” to see the shares and range.

Formula Used

Within ≥ 1 − 1/k² | Range = mean ± k × SD

Practical Examples

Example 1
k = 2: ≥ 75%, 50 to 90 for mean 70, SD 10.
Example 2
k = 3: ≥ 88.89%.

Important Tips

  • Use it for unknown shapes.
  • Use the empirical rule for normal data.
  • Find the SD first.

Common Mistakes to Avoid

  • k ≤ 1.
  • Reading the floor as the actual share.
  • Confusing it with 68–95–99.7.

Frequently Asked Questions

What does it say?
At least 1 − 1/k² within k SDs.
vs the empirical rule?
Any shape vs normal only.
Decimal k?
Yes, any k > 1.

Read Also

Results are estimates for educational purposes and may vary depending on your situation and data sources.