Applications of Binomial distribution

binomial distribution  The probability that a binomial random variable, X, has exactly x successes for n independent trials , when the probability of success is p, is called the It turns out that the discrete binomial probability distri- bution can be approximated by the continuous normal distribution with a known mean

In other words, rolling a die twice to see if a 2 appears is a binomial experiment, because there is a fixed number of trials , and each roll Binomial Distribution B Examples Binomial Bin 81% SMTDA 2014 100% 0 1 2 3 4 BINOMIAL DISTRIBUTION PDF FORVARIOUS VALUES OF P=0%, 5%, 10

The binomial distribution graph is useful because it displays the probability of differing numbers of successes out of the total number of trials In Binomial distribution, Poisson distribution, geometric distribution and negative binomial distribution are some examples of discrete random variable