Difference between revisions of "Manuals/calci/BETADIST"

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==Description==
 
==Description==
*This function gives the cumulative beta probability density function.
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*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 α and ß.
+
*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.
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*The Beta Distribution is also known as the Beta Distribution of the first kind.
*In BETADIST(x,alpha,beta,a,b) x is the value between a and b, alpha is the value of the shape parameter,beta is the value of the shape parameter and a and b(optional) are  the lower and upper limit to the interval of x.
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*In BETADIST(x,<math>\alpha</math>,<math>\betab</math>,a,b) <math>x</math> is the value between <math>a</math> and <math>b</math>.
*Normally x is lies between the limit a and b, suppose when we are omitting  the a and b value by default x value with in 0 and 1.
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*alpha is the value of the shape parameter.
*The probability density function of the beta distribution is:f(x)=x^ α-1(1-x)^ ß-1/B(α,ß), where 0≤x≤1; α,ß >0 and B(α,ß) is the Beta function.
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*beta is the value of the shape parameter
*The formula for the cumulative  beta distribution is called the incomplete beta function ratio and it is denoted by Ix and is defined as
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*<math>a</math> and <math>b</math>(optional) are  the Lower and Upper limit to the interval of <math>x</math>.
F(x)=Ix(α,ß)=∫ limit 0 to x t^α−1(1−t)ß−1dt  /B(p,q),  where 0≤x≤1; α,ß>0 and B(α,ß) is the Beta function.
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*Normally <math>x</math> lies between the limit <math>a</math> and <math>b</math>, suppose when we are omitting  <math>a</math> and <math>b</math> value, by default <math>x</math> value with in 0 and 1.
 +
*The Probability Density Function of the beta distribution is:
 +
<math>f(x)=\frac{x^{\alpha-1}(1-x)^{ \beta-1}}{B(\alpha,\beta)},</math> where <math>0 /le x /le 1</math>; <math>/alpha,/beta >0 </math> and <math>B(\alpha,\beta)</math> is the Beta function.
 +
*The formula for the Cumulative Beta Distribution is called the Incomplete Beta function ratio and it is denoted by <math>Ix</math> and is defined as :
 +
<math>F(x)=Ix(\alpha,\beta)=\int_{0}^{x}{t^{α−1}(1−t)^{\beta−1}dt} {B(p,q)},  where <math>0 \le x \le 1</math>0 ; <math>\alpha,\beta>0</math>0 and <math>B(\alpha,\beta)</math> is the Beta function.
 
*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
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  1.Any one of the arguments are non-numeric
  2.alpha or beta<=0
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  2.<math>\alpha \le 0</math> or <math>\beta \le 0</math>
  3.x<a ,x>b, or a=b
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  3.<math>x<a</math> ,<math>x>b</math>, or <math>a=b</math>
  4. we are not mentioning the limit values a and b, by default it will consider the standard cumulative beta distribution, a= 0 and b= 1.
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  4.we are not mentioning the limit values <math>a</math> and <math>b</math>, by default it will consider the standard cumulative beta distribution, <math>a = 0</math> and <math>b = 1</math>.
  
 
==Examples==
 
==Examples==

Revision as of 04:06, 3 December 2013

BETADIST(x,alpha,beta,a,b)


  • x is the value between a and b,
  • alpha and beta are the value of the shape parameter
  • a & b the lower and upper limit to the interval of x.

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 BETADIST(x,,Failed to parse (unknown function "\betab"): {\displaystyle \betab} ,a,b) is the value between and .
  • alpha is the value of the shape parameter.
  • beta is the value of the shape parameter
  • and (optional) are the Lower and Upper limit to the interval of .
  • Normally lies between the limit and , suppose when we are omitting and value, by default value with in 0 and 1.
  • 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 :

Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(x)=Ix(\alpha,\beta)=\int_{0}^{x}{t^{α−1}(1−t)^{\beta−1}dt} {B(p,q)}, where <math>0 \le x \le 1} 0 ; 0 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 
3. ,, or 
4.we are not mentioning the limit values  and , by default it will consider the standard cumulative beta distribution,  and .

Examples

  1. BETADIST(0.4,8,10) = 0.359492343
  2. BETADIST(3,5,9,2,6) = 0.20603810250
  3. BETADIST(9,4,2,8,11) = 0.04526748971
  4. BETADIST(5,-1,-2,4,7) = NAN

See Also


References

Beta Distribution