Difference between revisions of "Documentation/How Tos/Calc: WEIBULL function"

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: returns approximately <tt>'''0.2295'''</tt>, the value of the cumulative distribution function with <tt>'''k'''</tt> = <tt>'''3'''</tt> and <tt>'''&lambda;'''</tt> = <tt>'''4'''</tt> at <tt>'''x'''</tt> = <tt>'''2.5'''</tt>.
 
: returns approximately <tt>'''0.2295'''</tt>, the value of the cumulative distribution function with <tt>'''k'''</tt> = <tt>'''3'''</tt> and <tt>'''&lambda;'''</tt> = <tt>'''4'''</tt> at <tt>'''x'''</tt> = <tt>'''2.5'''</tt>.
  
=== See also: ===
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{{Documentation/SeeAlso|
[[Documentation/How_Tos/Calc: EXPONDIST function|'''EXPONDIST''']],
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* [[Documentation/How_Tos/Calc: EXPONDIST function|EXPONDIST]],
[[Documentation/How_Tos/Calc: NORMSDIST function|'''NORMSDIST''']]
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* [[Documentation/How_Tos/Calc: NORMSDIST function|NORMSDIST]]
  
[[Documentation/How_Tos/Calc: Statistical functions|'''Statistical functions''']]
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* [[Documentation/How_Tos/Calc: Statistical functions|Statistical functions]]
  
[[Documentation/How_Tos/Calc: Functions listed alphabetically|'''Functions listed alphabetically''']],
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* [[Documentation/How_Tos/Calc: Functions listed alphabetically|Functions listed alphabetically]]
[[Documentation/How_Tos/Calc: Functions listed by category|'''Functions listed by category''']]
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* [[Documentation/How_Tos/Calc: Functions listed by category|Functions listed by category]]}}

Revision as of 14:27, 25 February 2009


WEIBULL

Calculates values for a Weibull distribution.

Syntax:

WEIBULL(x; k; λ; mode)

The Weibull distribution is a continuous probability distribution, with parameters k > 0 (shape) and λ > 0 (scale).
If mode is 1, WEIBULL calculates the probability density function of the Weibull distribution:
Calc weibull1 equation.png
If mode is 0, WEIBULL calculates the cumulative distribution function of the Weibull distribution:
Calc weibull0 equation.png

Example:

WEIBULL(2.5; 3; 4; 1)

returns approximately 0.2166, the value of the probability density function with k = 3 and λ = 4 at x = 2.5.

WEIBULL(2.5; 3; 4; 0)

returns approximately 0.2295, the value of the cumulative distribution function with k = 3 and λ = 4 at x = 2.5.

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