WEIBULL.DIST Function in LibreOffice Calc — Tested Examples
An explanation of LibreOffice Calc WEIBULL.DIST, including tested formulas, examples, expected results and common mistakes.
Tested: Examples checked in LibreOffice Calc 25.2.3.2. What this means
Returns the values of the Weibull distribution. For shape 2 and scale 3, both the cumulative probability and density at x=0 are zero.
Syntax and arguments
=WEIBULL.DIST(Number; Alpha; Beta; C)
LibreOffice Calc formulas generally separate arguments with semicolons (;).
| Argument | Explanation |
|---|---|
Number |
The value for which the Weibull distribution is to be calculated. |
Alpha |
The Alpha parameter of the Weibull distribution. |
Beta |
The Beta parameter of the Weibull distribution. |
C |
Cumulated. C=0 calculates the density function, C=1 the distribution. |
Worked examples
Example 1: Find cumulative Weibull probability at zero
=WEIBULL.DIST(0;2;3;TRUE())
Expected result: 0. This value was returned in the LibreOffice Calc 25.2 test.
Example 2: Weibull probability density at zero with shape 2
=WEIBULL.DIST(0;2;3;FALSE())
Expected result: 0. This value was returned in the LibreOffice Calc 25.2 test.
How to interpret the result
For shape 2 and scale 3, both the cumulative probability and density at x=0 are zero.
Mistakes and troubleshooting
- Check inputs and assumptions: Shape and scale parameters must be positive; density mode is different from cumulative mode.
- Check argument order and format: Strings go in quotes, cell references do not. Functions that return arrays may require special entry.
- Verify your own data: Reproduce the example first. If your formula returns an error, inspect the referenced cells and individual argument values.
Related functions
Tested version and primary reference
2 example(s) on this page passed real calculations in LibreOffice Calc 25.2.3.2. This is not a claim about every possible input or other spreadsheet applications.