Difference between revisions of "Manuals/calci/BETADISTX"

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*The beta distribution is a family of Continuous Probability Distributions defined on the interval [0, 1] parameterized by two positive shape parameters, denoted by <math>\alpha</math> and <math>\beta</math>.
 
*The beta distribution is a family of Continuous Probability Distributions defined on the interval [0, 1] parameterized by two positive shape parameters, denoted by <math>\alpha</math> and <math>\beta</math>.
 
*The Beta Distribution is also known as the Beta Distribution of the first kind.
 
*The Beta Distribution is also known as the Beta Distribution of the first kind.
*In <math>BETADISTX(x,\alpha,\beta)</math>, <math>x</math> is any real number.
+
*In <math>BETADISTX(x,alpha,beta)</math>, <math>x</math> is any real number.
 
*alpha is the value of the shape parameter.
 
*alpha is the value of the shape parameter.
 
*beta is the value of the shape parameter
 
*beta is the value of the shape parameter
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*This function will give the result as error when  
 
*This function will give the result as error when  
 
  1.Any one of the arguments are non-numeric.
 
  1.Any one of the arguments are non-numeric.
  2.<math>\alpha \le 0</math> or <math>\beta \le 0</math>
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  2.<math>alpha \le 0</math> or <math>beta \le 0</math>
  
 
==Examples==
 
==Examples==
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#=BETADISTX(6,34,37) = 2.576888446568541e+72
 
#=BETADISTX(6,34,37) = 2.576888446568541e+72
 
#=BETADISTX(100,456,467)= NaN
 
#=BETADISTX(100,456,467)= NaN
 +
 +
==Related Videos==
 +
 +
{{#ev:youtube|aZjUTx-E0Pk|280|center|Beta Distribution}}
  
 
==See Also==
 
==See Also==

Latest revision as of 16:01, 4 December 2018

BETADISTX(x,alpha,beta)


  • is any real number.
  • alpha and beta are the value of the shape parameter

Description

  • This function gives the Cumulative Beta Probability Density function.
  • The beta distribution is a family of Continuous Probability Distributions defined on the interval [0, 1] parameterized by two positive shape parameters, denoted by and .
  • The Beta Distribution is also known as the Beta Distribution of the first kind.
  • In , is any real number.
  • alpha is the value of the shape parameter.
  • beta is the value of the shape parameter
  • The Probability Density Function of the beta distribution is:

where ; and is the Beta function.

  • The formula for the Cumulative Beta Distribution is called the Incomplete Beta function ratio and it is denoted by and is defined as :

=, where  ; and is the Beta function.

  • This function will give the result as error when
1.Any one of the arguments are non-numeric.
2. or 

Examples

  1. =BETADISTX(0.67,9,12) = 0.3102416743686678
  2. =BETADISTX(6,34,37) = 2.576888446568541e+72
  3. =BETADISTX(100,456,467)= NaN

Related Videos

Beta Distribution

See Also

References

Beta Distribution