Summary: As tastytraders, our focus is always on the objective, quantitative side of trading. We are most interested in boosting occurrences, collecting observations, and harvesting data that we can then analyze and interpret. To do this, we must recognize that the outline of any collection of data points will be the distribution that describes those data. While the [Normal Distribution](https://www.tastytrade.com/tt/shows/from-theory-to-practice/episodes/from-theory-to-practice-04-05-2016) is the distribution that we most commonly use, it is not the only distribution that we should take the time to learn. So today, Frank joins the discussion, and we explore the Lognormal Distribution ([a key underpinning of the Black-Scholes Model](https://www.tastytrade.com/tt/shows/from-theory-to-practice/episodes/the-math-behind-volatility-10-01-2015)) and its key property of nonnegative values.
