About this document
Discrete Probability Lecture Notes by kavita matu is a document available to read on EtoBox.
This document provides definitions and concepts related to discrete probability. It defines a sample space as a set of possible outcomes, and an event as a subset of the sample space. Events can be unions, intersections, or complements of other events. Probability is defined as a function that assigns a number between 0 and 1 to each event, following three axioms. Two key events are independent if the probability of their intersection equals the probability of each individual event. Computing probabilities
- Author
- kavita matu
- Language
- EN