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Statistical function

WEIBULL.DIST

Returns the Weibull distribution, common in reliability and failure-time analysis.

Rarely usedDifficulty 1550 · AdvancedUsage rank #457 of 520
Practice · 2 questions →

When to use it

The Weibull distribution, the standard model for time to failure. Alpha (shape) below 1 means early failures, 1 means constant hazard, above 1 means wear-out; beta is the scale.

The shape of it

Syntax
=WEIBULL.DIST(x, alpha, beta, cumulative)

Worked examples

  • Cumulative

    =WEIBULL.DIST(105,20,100,TRUE) 0.929581

    Probability of failure by 105 with shape 20 and scale 100.

  • Density

    =WEIBULL.DIST(105,20,100,FALSE) 0.035589

    Density at 105.

  • Exponential case

    =WEIBULL.DIST(1,1,1,TRUE) 0.632120559

    Shape 1 is the exponential: 1 - e to the minus 1.

Worth knowing

  • Reliability (survival) is 1 - WEIBULL.DIST(t,alpha,beta,TRUE).
  • Scale beta is the time by which 63.2% have failed, whatever the shape.
  • Fit alpha and beta from failure data with a Weibull plot or Solver.

Where it goes wrong

  • #NUM! for negative x or non-positive parameters.
  • Confusing shape and scale order (alpha then beta).

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