Poisson Distribution — Intuition, Examples, and Derivation

<h1>1. Why did Poisson invent the Poisson Distribution?</h1> <p><strong>To predict the number of events that will take place in the future!</strong></p> <p>More precisely,&nbsp;<strong>to predict the probability of a specific number of events&nbsp;</strong>occurring within a fixed time interval.</p> <p>If you have ever sold anything, this &ldquo;<strong>event</strong>&rdquo; could be defined as, for example, a customer making a purchase (the moment of truth, not merely browsing). It could also be how many visitors you get on your website a day, the number of clicks on your ads in the coming month, how many phone calls you receive during your shift, or even the number of people who will succumb to a fatal disease next year, and so on.</p> <p><a href="https://towardsdatascience.com/poisson-distribution-intuition-and-derivation-1059aeab90d"><strong>Click Here</strong></a></p>