Characteristics of binominal distribution A random variable has a binomial distribution if met this following conditions 1 There are fixed numbers of trials (n) 2 Every trial only has two possible results success or failure 3 The probability of success for each trial is always equal Usually, the success one symbolized with (p) 4If we assume the probabilities of each of the values is equal, then the probability would be \(P(X=2)=\frac{1}{5}\) We can define the probabilities of each of the outcomes using the probability mass function (PMF) described in the last section Here, the number of redflowered plants has a binomial distribution with \(n = 5, p = 025If we assume the probabilities of each of the values is equal, then the probability would be \(P(X=2)=\frac{1}{5}\) We can define the probabilities of each of the outcomes using the probability mass function (PMF) described in the last section Here, the number of redflowered plants has a binomial distribution with \(n = 5, p = 025 4 Di