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explain.binomial: Binomial Distribution Function Explained

Description

Step by step demonstration of the binomial distribution calculus.

Usage

explain.binomial(n,x,p)

Value

Numeric result and the process of this calculus explained.

Arguments

x

Should be a numbers.

n

Should be a numbers.

p

Should be a numbers.

Author

Jose Manuel Gomez Caceres, josemanuel.gomezc@edu.uah.es
Juan Jose Cuadrado, jjcg@uah.es
Universidad de Alcala de Henares

Details

To calculate the binomial distribution, the user should give three number (the number of trials, probability of success and binomial random variable). The result is a discrete probability distribution that counts the number of successes in a sequence of n independent Bernoulli trials with a fixed probability p of occurrence of success between trials. We can saw the binomial distribution formule in the binomial_ help document.

Examples

Run this code
  
  #data creation
  n = 3
  x = 2
  p = 0.7
    
  explain.binomial(n,x,p)
  
    

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