Difference between revisions of "Manuals/calci/DISCRETEDISTRIBUTED"

From ZCubes Wiki
Jump to navigation Jump to search
 
(One intermediate revision by the same user not shown)
Line 1: Line 1:
 
<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.
+
*<math>Numbers</math> is the number of variables.
 +
*<math>Values</math> is any real number.
 +
*<math>Probability</math> is the value from 0 to 1.
  
 
==Description==
 
==Description==
Line 15: Line 17:
  
 
==Examples==
 
==Examples==
 +
 +
==Related Videos==
 +
 +
{{#ev:youtube|v=mrCxwEZ_22o|280|center|Discrete Distribution}}
  
 
==See Also==
 
==See Also==

Latest revision as of 17:10, 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