Lecture

Random Variables and Expected Value

Description

This lecture covers the concept of random variables, probability distributions, and expected values. It explains how to calculate probabilities for random variables and how to determine the expectation and variance of random variables. The lecture also delves into examples involving biased coins, dice rolls, and Bernoulli trials, illustrating how to apply the theoretical concepts in practice.

Official source

https://mediaspace.epfl.ch/media/0_o0hcr1y7

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Probability theory: Topics in probability theory

Analysis: Calculus

Logic

Classical logic: First-order logic

Related lectures (745)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.