Manuals/calci/DISCRETEDISTRIBUTED

DISCRETEDISTRIBUTED (Numbers,Values,Probability)

• $Numbers$ is the number of variables.
• $Values$ is any real number.
• $Probability$ is the value from 0 to 1.

Description

• This function shows the value of Discrete distribution.
• The Discrete Uniform distribution is a symmetric probability distribution whereby a finite number of values are equally likely to be distributed.
• So every one of n values has equal probability 1/n.
• Unlike a continuous distribution which has an infinite number of outcomes,a discrete distribution is characterized by a limited number of possible observations.
• Discrete distribution is frequently used in statistical modeling and computer programming.
• The discrete uniform distribution itself is inherently non-parametric.
• Consider an interval $[a,b]$, with these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any $k\in [a,b]$, as $F(k;a,b)={\frac {k-a+1}{b-a+1}}$.
• This function will return the result as error when

1.Any one of the parameter is non numeric.
2.The value of a and b is<0.

Related Videos

Discrete Distribution

See Also

• BERNOULLIDISTRIBUTED
• BINOMIALDISTRIBUTED
• NORMALDISTRIBUTED

References

• Discrete Distribution

• List of Main Z Functions

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