Difference between revisions of "Manuals/calci/DISCRETEDISTRIBUTED"

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(Created page with "<div style="font-size:30px">'''DISCRETEDISTRIBUTED (Numbers,Values,Probability) '''</div><br/> *<math>Thing</math> is any value to test. ==Description== *This function shows ...")
 
 
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<div style="font-size:30px">'''DISCRETEDISTRIBUTED (Numbers,Values,Probability) '''</div><br/>
 
<div style="font-size:30px">'''DISCRETEDISTRIBUTED (Numbers,Values,Probability) '''</div><br/>
*<math>Thing</math> is any value to test.
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*<math>Numbers</math> is the number of variables.
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*<math>Values</math> is any real number.
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*<math>Probability</math> is the value from 0 to 1.
  
 
==Description==
 
==Description==
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*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 [a,b], as F(k;a,b)=k-a+1/b-a+1.
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*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.
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 +
==Examples==
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==Related Videos==
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{{#ev:youtube|v=mrCxwEZ_22o|280|center|Discrete Distribution}}
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==See Also==
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*[[Manuals/calci/BERNOULLIDISTRIBUTED  | BERNOULLIDISTRIBUTED ]]
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*[[Manuals/calci/BINOMIALDISTRIBUTED  | BINOMIALDISTRIBUTED ]]
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*[[Manuals/calci/NORMALDISTRIBUTED  | NORMALDISTRIBUTED ]]
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==References==
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*[http://www.investopedia.com/terms/d/discrete-distribution.asp Discrete Distribution]
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*[[Z_API_Functions | List of Main Z Functions]]
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*[[ Z3 |  Z3 home ]]

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

Discrete Distribution

See Also

References