Statistical Probability Distributions

All possible outcomes of a random experiment are random variables. X is the number of times the event happened in the specified time interval. In the Poisson distribution, the events are independent of each other. We can visually check how close a sample is to the normal distribution using QQ-Plots. The tail is the long, narrow part of a distribution where outliers are located. When one tail differs from another, it is called skewness.