Difference between revisions of "Manuals/calci/DISCRETEDISTRIBUTED"
Jump to navigation
Jump to search
| Line 9: | Line 9: | ||
*Discrete distribution is frequently used in statistical modeling and computer programming. | *Discrete distribution is frequently used in statistical modeling and computer programming. | ||
*The discrete uniform distribution itself is inherently non-parametric. | *The discrete uniform distribution itself is inherently non-parametric. | ||
| − | *Consider an interval <math>[a,b]</math>, with these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any <math>k \isin [a,b]</math>, as F(k;a,b)=k-a+1 | + | *Consider an interval <math>[a,b]</math>, with these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any <math>k \isin [a,b]</math>, as <math>F(k;a,b)=\frac{k-a+1}{b-a+1}</math>. |
*This function will return the result as error when | *This function will return the result as error when | ||
1.Any one of the parameter is non numeric. | 1.Any one of the parameter is non numeric. | ||
2.The value of a and b is<0. | 2.The value of a and b is<0. | ||
| + | |||
| + | ==Examples== | ||
| + | |||
| + | ==See Also== | ||
| + | *[[Manuals/calci/BERNOULLIDISTRIBUTED | BERNOULLIDISTRIBUTED ]] | ||
| + | *[[Manuals/calci/BINOMIALDISTRIBUTED | BINOMIALDISTRIBUTED ]] | ||
| + | *[[Manuals/calci/NORMALDISTRIBUTED | NORMALDISTRIBUTED ]] | ||
| + | |||
| + | ==References== | ||
| + | *[http://www.investopedia.com/terms/d/discrete-distribution.asp Discrete Distribution] | ||
| + | |||
| + | |||
| + | *[[Z_API_Functions | List of Main Z Functions]] | ||
| + | |||
| + | *[[ Z3 | Z3 home ]] | ||
Revision as of 13:32, 21 September 2017
DISCRETEDISTRIBUTED (Numbers,Values,Probability)
- 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 Thing} is any value to test.
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 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 [a,b]} , with these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any 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 k \isin [a,b]} , 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(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.
Examples
See Also
References