Let me start off by saying I am having difficulty understanding these concepts myselfso to relate their meaning to a six-year-old would be relatively impossible for me at this point. I will attempt to provide an example of what I would say. I would say a binomial experiment has a fixed number and the results can only be one of two things a success or failure (Study.com, 2022). A binomial experiment has outcomes that do not influence each other, and example would be if you asked a patient how their experience was with their doctor it doesn't influence or have any effect on other patients experience and satisfaction. A Poisson probability distribution is independent variables that are measuring the odds of two events happening at the same time (Anderson et al, 2020). A Poisson distribution measures how many events will occur during a given time span. Instead of being a series of trials like the binomial probability distribution Poisson takes place over time. All the timespans are thought to be independent of each other. Poisson distribution is used to represent the average events and the timespan the events occur. Please discuss with reference