Difference between revisions of "Manuals/calci/BERNOULLI"
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*<math>p</math> is the probability value. The <math>p</math> vaule is ranges from 0 to 1. | *<math>p</math> is the probability value. The <math>p</math> vaule is ranges from 0 to 1. | ||
*The Bernoulli distribution is defined by:<math>f(x)=p^x(1-p)^{1-x}</math> for x=0,1, where <math>p</math> is the probability that a particular event will occur. | *The Bernoulli distribution is defined by:<math>f(x)=p^x(1-p)^{1-x}</math> for x=0,1, where <math>p</math> is the probability that a particular event will occur. | ||
− | *The probability mass function is :<math>f(k,p) = \begin{cases}p | + | *The probability mass function is :<math>f(k,p) = \begin{cases}p if& k=1\\ |
− | 1-p | + | 1-p if &k=0. |
\end{cases}</math> | \end{cases}</math> | ||
*This function will give the result as error when | *This function will give the result as error when | ||
1. Any one of the argument is nonnumeric. | 1. Any one of the argument is nonnumeric. | ||
− | 2. The value of p<0 or p>1. | + | 2. The value of p<0 or p>1. |
+ | |||
+ | ==ZOS== | ||
+ | *The syntax is to calculate this function in ZOS is <math>BERNOULLIDISTRIBUTED(a,b)</math>. | ||
+ | **<math>a</math> represents the number of variables. | ||
+ | **<math>b</math> is the probability value. | ||
+ | *For e.g.,BERNOULLIDISTRIBUTED(5,0.4) | ||
+ | *BERNOULLIDISTRIBUTED(3..7,0.7) | ||
==Examples== | ==Examples== | ||
#=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 | ||
+ | |||
+ | ==Related Videos== | ||
+ | |||
+ | {{#ev:youtube|ry81_iSHt6E|280|center|Bernoulli Distribution}} | ||
==See Also== | ==See Also== | ||
+ | *[[Manuals/calci/KURT | KURT]] | ||
+ | *[[Manuals/calci/MULTINOMIAL | MULTINOMIAL]] | ||
==References== | ==References== | ||
+ | *[http://en.wikipedia.org/wiki/Bernoulli_distribution BERNOULLI] |
Latest revision as of 14:01, 7 December 2016
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.
ZOS
- The syntax is to calculate this function in ZOS is .
- represents the number of variables.
- is the probability value.
- For e.g.,BERNOULLIDISTRIBUTED(5,0.4)
- BERNOULLIDISTRIBUTED(3..7,0.7)
Examples
- =BERNOULLIDISTRIBUTED(5,0.5)=1 1 0 0 1, 0 0 0 0 0
- =BERNOULLIDISTRIBUTED(3,0.2)= 0 0 0