* both the binomial distribution and the poisson distribution are used to model/describe count data
* the binomial variable is the total number of successes in n trials where the trials are independent with a constant probability of success denoted by p for each of them
* the poisson distribution is the number of successes/responses in a defined time period or space where the rate per space unit or time unit is denoted by (λ)
* the binomial variable has a maximum value which is the number of trials (n), while the poisson variable, in theory, does not have that upper limit
* both binomial and poisson variables are example of
discrete variables