Difference between revisions of "Manuals/calci/BERNOULLI"
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*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== |
Revision as of 11:04, 4 June 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.
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