Difference between revisions of "Manuals/calci/BERNOULLI"

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#=BERNOULLIDISTRIBUTED(5,0.5)=1    1    0  0  1,  0    0    0    0    0
 
#=BERNOULLIDISTRIBUTED(5,0.5)=1    1    0  0  1,  0    0    0    0    0
 
#=BERNOULLIDISTRIBUTED(3,0.2)= 0  0  0
 
#=BERNOULLIDISTRIBUTED(3,0.2)= 0  0  0
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==Related Videos==
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{{#ev:youtube|ry81_iSHt6E|280|center|Bernoulli Distribution}}
  
 
==See Also==
 
==See Also==

Revision as of 14:16, 29 May 2015

BERNOULLIDISTRIBUTED(k,p)


  • represents the number of variables.
  • is the probability value.

Description

  • This function gives the value of the Bernoulli distribution.
  • It is a discrete probability distribution.
  • Bernoulli distribution is the theoretical distribution of the number of successes in a finite set of independent trials with a constant probability of success.
  • The Bernoulli distribution is simply BINOM(1,P).
  • This distribution best describes all situations where a trial is made resulting in either success or failure, such as when tossing a coin, or when modeling the success or failure.
  • , represents the number of variables.
  • is the probability value. The vaule is ranges from 0 to 1.
  • The Bernoulli distribution is defined by: for x=0,1, where is the probability that a particular event will occur.
  • The probability mass function is :
  • This function will give the result as error when
      1. Any one of the argument is nonnumeric.
      2. The value of p<0 or p>1. 

Examples

  1. =BERNOULLIDISTRIBUTED(5,0.5)=1 1 0 0 1, 0 0 0 0 0
  2. =BERNOULLIDISTRIBUTED(3,0.2)= 0 0 0

Related Videos

Bernoulli Distribution

See Also

References