| Line 1: |
Line 1: |
| − | ==bernoulli | + | <div style="font-size:30px">'''BERNOULLIDISTRIBUTED (Numbers,Probability)'''</div><br/> |
| | + | *<math>Numbers </math> is the number of variables. |
| | + | *<math>Probability</math> is the value range from 0 to 1. |
| | + | |
| | + | ==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. |
| | + | *In <math>BERNOULLIDISTRIBUTED(Numbers,Probability)</math> ,<math>Numbers</math> represents the number of variables. |
| | + | *<math>Probability</math> is the probability value. |
| | + | *The <math>Probability</math> vaule is ranges from 0 to 1. |
| | + | *The Bernoulli distribution is defined by:f(x)=p^x(1-p)^{1-x} for x=0,1, where p is the probability that a particular event will occur. |
| | + | *The probability mass function is :Failed to parse(PNG conversion failed; check for correct installation of latex and dvipng (or dvips + gs + convert)): f(k,p) = \begin{cases}p &if& k=1\\ 1-p &if &k=0. \end{cases} |
| | + | *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. |