How to use this tool
- Enter minimum, maximum, most likely value, value x.
- Select Calculate to view the result.
- Check the method and assumptions below before using the result.
The method, explained
CDF is (x−a)²/[(b−a)(mode−a)] below the mode and 1−(b−x)²/[(b−a)(b−mode)] above it, with endpoint limits.
Using minimum = 0, maximum = 10, most likely value = 4, value x = 1, the result is 0.025. Change these example inputs to match your task; use the method above to check each step.
Understanding your result
Main result is P(X≤x). A triangular model uses a bounded range and mode; it does not establish that real observations follow this distribution.
What to keep in mind
Main result is P(X≤x). A triangular model uses a bounded range and mode; it does not establish that real observations follow this distribution. A descriptive or probability calculation under the stated assumptions. Check the sample design and model before interpreting results.
Common questions
How do I use this triangular distribution calculator?
Calculate cumulative probability for a bounded triangular model with a specified mode. Enter minimum, maximum, most likely value, value x. The starting example is editable; use values for the same system or project.
Which assumptions affect this result?
Main result is P(X≤x). A triangular model uses a bounded range and mode; it does not establish that real observations follow this distribution.
Methodology maintained by ClarityKit. How these tools are built and checked.