This document discusses probability distributions that are important for data science and engineering applications. It covers uniform, Poisson, and normal distributions. Examples are provided on calculating probabilities and standard deviation for different distributions using Python code. Key concepts explained include probability mass function, mean, variance, and how standard deviation relates to risk.