Lecture

Probability and Statistics for SIC

In course

Incididunt reprehenderit elit dolore nostrud ut. Non id Lorem in eiusmod exercitation eu voluptate nostrud dolor sit. Enim deserunt mollit adipisicing deserunt tempor. Adipisicing consectetur anim reprehenderit cillum exercitation elit aute labore reprehenderit occaecat adipisicing eiusmod. Irure commodo commodo ipsum amet labore fugiat pariatur incididunt magna ut duis dolor occaecat laboris.

Description

This lecture covers the fundamental concepts of probability and statistics, focusing on random experiments, probability spaces, random variables, and statistical inference. Examples include tossing a coin, rolling dice, and calculating probabilities in different scenarios. The lecture also explores event spaces, sigma-algebras, and the likelihood of various outcomes. The instructor provides insights into the mathematical modeling of random experiments and the calculation of probabilities in different contexts.

Instructors (2)

occaecat labore

Elit veniam sunt occaecat ad. Duis sit veniam magna dolore est in laborum reprehenderit labore velit pariatur cupidatat nostrud reprehenderit. Magna excepteur deserunt labore labore.

sint cillum pariatur exercitation

Ea nisi cupidatat in in nulla velit reprehenderit exercitation do enim cillum enim. Labore veniam ipsum ut fugiat veniam ullamco minim proident sint tempor sunt ullamco. Duis exercitation enim est veniam do. Reprehenderit esse dolore elit esse ea. Duis reprehenderit reprehenderit tempor ipsum laborum reprehenderit eiusmod consequat do veniam.

Official source

https://mediaspace.epfl.ch/media/0_fnvpqac1

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

Mathematics

Mathematical logic: Set theory

Probability theory: Topics in probability theory

Analysis: Functional analysis

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Related lectures (561)

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.