What the Method Means
The maximum variation method estimates uncertainty by pushing every input to the limit that gives the largest output change. It is a conservative method. It does not assume random cancellation. It asks a practical question. What is the largest output shift possible inside the entered limits?
Why Sensitivity Matters
Each input can affect the result in a different way. A sensitivity coefficient describes that effect. A coefficient of two means one input unit changes the output by two units. A negative coefficient means the output moves in the opposite direction. The calculator uses this sign when choosing upper and lower extremes.
Best Use Cases
This approach is useful for tolerance stacks, laboratory checks, engineering reviews, audits, and process studies. It is also useful when inputs are bounded but distribution information is weak. The result is easy to explain. Every input is moved to its worst practical limit. The final spread shows the possible output envelope.
Reading the Result
The nominal output is the model value at nominal inputs. The minimum output is the lowest value found from the entered limits. The maximum output is the highest value found from the entered limits. The plus and minus uncertainties show asymmetric behavior. The worst case value reports the larger side. The expanded value multiplies that value by the entered coverage factor.
Good Data Practices
Use realistic limits. Do not mix estimated ranges with impossible extremes. Keep units consistent before entering data. Review sensitivity coefficients carefully. A wrong sign can reverse the result. Add notes when the report supports a design decision. Use the contribution table to find the strongest uncertainty driver.