Probability Theory #14: Poisson Distribution
<p>The Poisson Distribution is a discrete probability distribution. This type of distribution represents values that are not continuous, appearing as whole numbers on the x-axis. Thus, in our data, we will not observe decimal values.</p>
<p>It’s essential to understand that we do not artificially convert the data into whole numbers or decimals. For instance, we do not receive 7.5 emails a day, although one might interpret the 0.5 as half an email sent or received. Similarly, we do not sell 1.5 phones, even though the 0.5 might represent a sale that is pending completion. Therefore, it’s important to remember that in a Poisson Distribution, decimals in the raw data, regardless of our interpretations, do not yield meaningful interpretations in reality.</p>
<p><a href="https://medium.com/datafrens-sg/probability-theory-14-poisson-distribution-99274ecd8b1b"><strong>Visit Now</strong></a></p>