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Understanding Probability Mass Functions by Rhone Christian Narciso Salcedo is a document available to read on EtoBox.
This document defines and provides examples of a probability mass function (PMF), which describes the probability of discrete random variables taking on particular values. A PMF must satisfy two properties: 1) the probabilities must be greater than or equal to 0, and 2) the total probability across all possible values must be 1. The document provides an example of a PMF where a random variable can take on the values 0, 1, 2, or 3 with equal probability. It also defines the expected value of a discrete rando
- Author
- Rhone Christian Narciso Salcedo
- Language
- EN