Data Science Essentials in Python

Unit 45

Reviewing Probability Distributions

A probability distribution assigns a probability to each possible random number (a discrete distribution) or range of random numbers (a continuous distribution). In other words, it tells us if some outcomes are more probable than other outcomes. Commonly encountered probability distributions include the uniform distribution (continuous and discrete), the normal distribution (continuous), and the binomial distribution (discrete).

You can specify a probability distribution by supplying a probability mass function (PMF, for discrete distributions) or probability density function (PDF, for continuous distributions). A PDF describes the relative likelihood a random variable takes on a given value, and a ...