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> | + | *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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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> | 2.<math>\alpha \le 0</math> or <math>\beta \le 0</math> | ||
− | |||
− | |||
==Examples== | ==Examples== |
Revision as of 14:16, 7 December 2016
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 :
Failed to parse (syntax error): {\displaystyle F(x)=I_x(\alpha,\beta)=\int_{0}^{x}\frac{t^{α−1}(1−t)^{\beta−1}dt} {B(\alpha,\beta)}} , 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
- =BETADIST(0.4,8,10) = 0.35949234293309396
- =BETADIST(3,5,9,2,6) = 0.20603810250759128
- =BETADIST(9,4,2,8,11) = 0.04526748971193415
- =BETADIST(5,-1,-2,4,7) = #ERROR