Difference between revisions of "Manuals/calci/DISCRETEDISTRIBUTED"
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==Examples== | ==Examples== | ||
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+ | ==Related Videos== | ||
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+ | {{#ev:youtube|v=mrCxwEZ_22o|280|center|Discrete Distribution}} | ||
==See Also== | ==See Also== |
Latest revision as of 18:10, 5 December 2018
DISCRETEDISTRIBUTED (Numbers,Values,Probability)
- is the number of variables.
- is any real number.
- 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 , with these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any , as .
- 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.
Examples
Related Videos
See Also
References