ClarityHow to use this tool
- Enter category counts.
- Select Calculate to view the result.
- Check the method and assumptions below before using the result.
The method, explained
Normalize counts to probabilities and compute H=−Σp log₂p, with zero-count terms contributing zero.
Using category counts = 10, 10, 10, 10, the result is 2. Change these example inputs to match your task; use the method above to check each step.
What to keep in mind
Categories must be mutually exclusive. Entropy measures distribution uncertainty; it does not certify password security or randomness. A descriptive or probability calculation under the stated assumptions. Check the sample design and model before interpreting results.
Common questions
Which inputs does this calculation need?
Measure uncertainty in a discrete distribution using nonnegative category counts. Enter category counts. The filled example is editable and is not a saved personal record.
How should I interpret the result?
Categories must be mutually exclusive. Entropy measures distribution uncertainty; it does not certify password security or randomness. A descriptive or probability calculation under the stated assumptions. Check the sample design and model before interpreting results.
Methodology maintained by ClarityKit. How these tools are built and checked.