Lecture

Variance: Independent Random Variables and Bernoulli Trials

In course

Adipisicing non qui proident qui. Sit nisi amet duis commodo proident adipisicing minim fugiat id culpa culpa ad nostrud et. Adipisicing fugiat amet enim laboris excepteur elit in id amet ea sunt adipisicing. Excepteur consectetur do ullamco ea dolor non ea laboris duis. Fugiat ad sint veniam exercitation aute et reprehenderit ea fugiat aliqua. Do sit minim dolore minim irure consequat ea mollit.

Description

This lecture covers Bienaymé's Formula for independent random variables, providing proofs and examples to calculate the variance of the sum of two variables. It also explores finding the variance in Bernoulli trials.

Official source

https://mediaspace.epfl.ch/media/0_wj884h2x

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

Mathematics

Probability theory: Topics in probability theory

Related lectures (32)